Blood-based gene detection of non-small cell lung cancer

ABSTRACT

The present invention provides a method for early detection of non-small cell lung cancer based on the abundance of RNAs from blood samples as well as diagnostic tools such as kits and arrays suitable for such method.

The present invention pertains to a method for the detection of non-small cell lung cancer (NSCLC) based on the abundance of particular RNAs from blood samples, as well as diagnostic tools such as kits and arrays suitable for such method.

BACKGROUND OF THE INVENTION

Lung cancer is still the leading cause of cancer related death worldwide. Prognosis has remained poor with a disastrous two-year survival rate of only about 15% due to diagnosis of the disease in late, i.e. incurable stages in the majority of patients (Jemal, A. et al., CA Cancer J. Clin., 58: 71-96 (2008)) and still disappointing therapeutic regimens in advanced disease (Sandler, A. et al., N. Engl. J. Med., 355: 2542-50 (2006)). Thus, there is an urgent need to establish reliable tools for the identification of non-small cell lung cancer (NSCLC) patients at early stages of the disease e.g. prior to the development of clinical symptoms. Today, the only way to detect non-small cell lung cancer is by means of imaging technologies detecting morphological changes in the lung in combination with biopsy specimens taken for histological examination. However, these screening approaches are not easily applied to secondary prevention of non-small cell lung cancer in an asymptomatic population (Henschke, C. I. et al., N. Engl. J. Med., 355: 1763-71 (2006)).

The use of surrogate tissue-based, e.g. blood-based, biomarkers for non-small cell lung cancer might therefore circumvent the known pitfalls of imaging technologies and invasive diagnostics ((Henschke, C. I. et al., N. Engl. J. Med., 355: 1763-71 (2006); Bach, P. B. et al., Chest, 132: 69S-77S (2007)). Such biomarkers might be utilized to direct imaging based and invasive screening approaches to only those individuals identified as potential non-small cell lung cancer patients by biomarker screening.

Array-based assessment of disease-specific gene expression patterns in peripheral blood mononuclear cells (PBMC) have been reported for non-malignant (Staratschek-Jox, A. et al., Expert Review of Molecular Diagnostics, 9: 271-80 (2009)) and malignant diseases including renal cell carcinoma, melanoma, bladder, breast and lung cancer (Burczynski, M. E. et al., Clin. Cancer Res., 11: 1181-9 (2005); Twine, N. C. et al., Cancer Res., 63: 6069-75 (2003); Sharma, P. et al., Breast Cancer Res., 7: R634-44 (2005); Osman, I. et al., Clin. Cancer Res., 12:3374-80 (2006); Critchley-Thorne, R. J. et al., PLoS Med., 4: e176 (2007); Showe, M. K. et al., Cancer Res., 69: 9202-10 (2009)). In some cases, gene expression profiles derived from PBMC were even suggested as promising tools for early detection (Sharma, P. et al., Breast Cancer Res., 7: R634-44 (2005); Showe, M. K. et al., Cancer Res., 69: 9202-10 (2009)) or prediction of prognosis (Burczynski, M. E. et al., Clin. Cancer Res., 11: 1181-9 (2005)), albeit these findings have not yet been validated in independent studies. Furthermore, circumventing known pitfalls of analyzing PBMC in a clinical setting (Debey, S. et al., Pharmacogenomics J., 4: 193-207 (2004); Debey, S. et al., Genomics, 87: 653-64 (2006)) by using stabilized RNA derived from whole blood would further strengthen the validity of blood-based surrogate biomarkers for early diagnosis of lung cancer and other malignant diseases.

DESCRIPTION OF THE INVENTION

The inventors have shown for the first time that measuring the abundance of a set of at least 5 different RNAs, possibly stemming from the transcription of genes, from a sample of whole blood allows for a highly accurate prediction of whether a human individual suffers from non-small cell lung cancer or not. Thus, a means for detecting or diagnosing non-small cell lung cancer is provided that is based on a minimally invasive method such as drawing a blood sample from a patient.

In this context, the invention teaches a test system that is trained in detection of a non-small cell lung cancer, comprising at least 5 RNAs, which can be quantitatively measured on an adequate set of training samples, with adequate clinical information on carcinoma status, applying adequate quality control measures, and on an adequate set of test samples, for which the detection yet has to be made. Given the quantitative values for the biomarkers and the clinical data for the training, a classifier can be trained and applied to the test samples to calculate the probability of the presence of the non-small cell lung cancer. The 484 RNAs of the invention are defined in particular in table 2 and are characterized through their nucleotide sequence or further through synonymous probe IDs provided in table 2. It is noted that the abundance of a particular RNA may be determined using different probe IDs, as known in the art.

Therefore, the inventors provide a means for diagnosing or detecting NSCLC in a human individual with a sensitivity and specificity (as shown e.g. by the area under the curve (AUC) values in lists 1 to 51), as it has thus far not yet been described for a blood-based method.

In a first aspect, the invention provides a method for the detection of non-small cell lung cancer (NSCLC) of any clinical stage in a human individual based on RNA obtained from a blood sample obtained from the individual. Such a method comprises at least the following two steps: Firstly, the abundance of at least 5 RNAs that are chosen from the RNAs listed in Table 2 is determined in the sample. Secondly, based on the measured abundance, it is concluded whether the patient has NSCLC or not.

In preferred embodiments of the invention, the abundance of at least 6 RNAs, of at least 7 RNAs, of at least 11 RNAs, of at least 16 RNAs, of at least 21 RNAs, of at least 25 RNAs, or of at least 34 RNAs that are chosen from the RNAs listed in Table 2 is determined, respectively. Reference is made in this context to lists 1 to 51, which show exemplary embodiments of sets of RNAs whose abundance can be measured in the method of the invention. For each set of RNAs, the AUC is provided, which is a quantitative parameter for the clinical utility (specificity and sensitivity) of the invention.

In a preferred embodiment of this method, it comprises determining the abundance of the RNAs specified in FIG. 2B.

In further preferred embodiments of the invention, the abundance of at least 5 RNAs from the RNAs listed in Table 2 is measured, wherein at least one RNA that is chosen from the group consisting of SEQ ID NOs:72 (PLSCR1), 85 (VPREB3), 99 (NT5C2), 146 (BTN3A2), 183 (ANKMY1) and 283 (BLR1) is excluded from the measurement. In preferred embodiments, at least two RNAs that are chosen from the group consisting of SEQ ID NOs:72, 85, 99, 146, 183 and 283, or all six RNAs from the group consisting of SEQ ID NOs:72, 85, 99, 146, 183 and 283 are not measured. In the latter case the abundance of at least 5 RNAs is measured that are listed in Table 2 and that are chosen from the group consisting of SEQ ID NOs: 1-71, 73-84, 86-98, 100-145, 147-182, 184-282 and 284-484. It is understood that the embodiments of the method of the invention that avoid the determination of the abundance one or more of the RNAs of SEQ ID NOs:72, 85, 99, 146, 183 and 283 are at least equally sensitive as those including the determination of said RNAs. An RNA obtained from an individual's blood sample, i.e. an RNA biomarker, is an RNA molecule with a particular base sequence whose presence within a blood sample from a human individual can be quantitatively measured. The RNA can e.g. be mRNA, cDNA, unspliced RNA, or fragments of any of the before mentioned molecules.

The term “abundance” refers to the amount of RNA in a sample of a given size. In a preferred embodiment, the term “abundance” is equivalent to the term “expression level”. The term “whole blood” refers to a sample of blood taken from a human individual for which no separation of particular fractions of the blood is performed. In particular, no separation of a certain type of blood cell or of blood cells in general needs to be performed, since the whole blood sample is used in the present invention. This allows for easier handling and shipping of the blood samples compared to methods in which the blood sample is separated into different fractions.

Lung Cancer is subdivided into two major histological and clinical groups: Small Cell Lung Cancer and Non Small Cell Lung Cancer (WHO Lung Cancer classification, Travis et al., IARC Press 2004). The UICC based staging system has recently been revised. All data obtained for this study were based on the UICC based staging system version 6 (Travis et al., JTO 2008).

The conclusion whether the patient has NSCLC or not may comprise, in a preferred embodiment of the method, classifying the sample as being from a healthy individual or from an individual having NSCLC based on the specific difference of the abundance of the at least 5 RNAs in healthy individuals versus the abundance of the at least 5 RNAs in individuals with NSCLC in a reference set. In the present method, a sample can be classified as being from a patient with NSCLC or from a healthy individual without the necessity to run a reference sample of known origin (i.e. from an NSCLC patient or a healthy individual) at the same time.

In a preferred embodiment the method of the invention is a method for the detection of NSCLC in a human individual based on RNA obtained from a blood sample obtained from the individual, comprising:

-   -   determining the abundance of at least 5 RNAs in the sample that         are chosen from the RNAs listed in Table 2, and     -   classifying the sample as being from a healthy individual or         from an individual having NSCLC based on the specific difference         of the abundance of the at least 5 RNAs in healthy individuals         versus the abundance of the at least 5 RNAs in individuals with         NSCLC. Particularly preferred for this method is that the         abundance of at least 7 RNAs, of at least 11 RNAs, of at least         16 RNAs, of at least 21 RNAs, of at least 25 RNAs, or of at         least 34 RNAs chosen from the RNAs listed in Table 2 is         determined.

The conclusion or test result whether the individual has NSCLC or not is preferably reached on the basis of a classification algorithm, such as a support vector machine, a random forest method, or a K-nearest neighbor method, as known in the art. The conclusion or test result whether the individual has NSCLC or not is preferably reached on the basis of a classification algorithm, such as a support vector machine, as known in the art.

For the development of a model that allows for the classification for a given set of biomarkers, such as RNAs, only those methods are needed that are generally known to a person of skill in the art.

The major steps of such a model are:

1) condensation of the raw measurement data (for example combining probes of a microarray to probeset data, and/or normalizing measurement data against common controls); 2) training and applying a classifier (i.e. a mathematical model that generalizes properties of the different classes (NSCLC vs. healthy individual) from the training data and applies them to the test data resulting in a classification for each test sample.

The key component of these classifier training and classification techniques is the choice of RNA biomarkers that are used as input to the classification algorithm.

The classification is in one embodiment achieved by applying a Prediction Method for Support Vector Machines (hereinafter SVM; David Meyer based on C++-code by Chih-Chung Chang and Chih-Jen Lin), which predicts values based upon a model trained by svm.

Usage:

## S3 method for class ‘svm’: predict(object, newdata, decision.values=FALSE, probability=FALSE, . . . , na.action=na.omit)

Arguments:

-   Object Object of class “svm”, created by svm. -   Newdata A matrix containing the new input data. A vector will be     transformed to a n×1 matrix. -   decision.values Logical controlling whether the decision values of     all binary classifiers computed in multiclass classification shall     be computed and returned. -   Probability Logical indicating whether class probabilities should be     computed and returned. Only possible if the model was fitted with     the probability option enabled. -   na.action A function to specify the action to be taken if ‘NA’s are     found. The default action is na.omit, which leads to rejection of     cases with missing values on any required variable. An alternative     is na.fail, which causes an error if NA cases are found. (NOTE: If     given, this argument must be named.) -   . . . Currently not used.

A vector of predicted values (for classification: a vector of labels, for density estimation: a logical vector). If decision.value is TRUE, the vector gets a “decision.values” attribute containing a n×c matrix (n number of predicted values, c number of classifiers) of all c binary classifiers' decision values. There are k*(k−1)/2 classifiers (k number of classes). The colnames of the matrix indicate the labels of the two classes. If probability is TRUE, the vector gets a “probabilities” attribute containing a n×k matrix (n number of predicted values, k number of classes) of the class probabilities.

If the training set was scaled by svm (done by default), the new data is scaled accordingly using scale and center of the training data.

The specific SVM algorithm suitable for the method of the invention is shown in Table 3.

The determination of the expression profiles of the RNAs described herein is performed in a blood-based fashion. In particular, blood samples are used in the method of the invention. Methods for determining the expression profiles therefore comprise e.g. in situ hybridization, PCR-based methods, sequencing, or preferably microarray-based methods.

The conclusion of a sample as stemming from a healthy individual or from an individual with NSCLC is based on increases or decreases in the abundance of the RNAs in the sample compared to reference values. Specifically, an increase of the abundance preferably provides for a change of >1.1, >1.2, or >1.3. A decrease of the expression preferably provides for a change <0.9, <0.8, or <0.7 relative to the respective expression in healthy individuals.

The abundance can e.g. be determined with an RNA hybridization assay, preferably with a solid phase hybridization array (microarray), or with a real-time polymerase chain reaction, or through sequencing. Preferably, the abundance of the at least 5 RNAs of Table 2 is determined through a hybridization with probes. Such a probe may comprise 12 to 150, preferably 25 to 70 consecutive nucleotides with a sequence that is reverse complementary to at least part of the RNA whose abundance is to be determined, such that a specific hybridization between the probe and the RNA whose abundance is to be determined can occur.

In another aspect, the invention refers to a solid phase hybridization array (microarray) for the detection of NSCLC based on a blood sample from a human individual. Such an array comprising probes for detecting at least 5 of the RNAs that are chosen from the RNAs listed in Table 2. Preferably, the array comprises probes for detecting at least 6 RNAs, of at least 7 RNAs, of at least 11 RNAs, of at least 16 RNAs, of at least 21 RNAs, of at least 25 RNAs, or of at least 34 RNAs that are chosen from the RNAs listed in Table 2, respectively. It is further preferred that said probes for detecting said at least 5 RNAs from the RNAs listed in Table 2 exclude probes for detecting one, or two, or all six of the RNAs that is chosen from the group consisting of SEQ ID NOs:72, 85, 99, 146, 183 and 283. In particularly preferred embodiments, the probes for detecting the at least 5 RNAs as listed in Table 2 are chosen from the group consisting of SEQ ID NOs: 1-71, 73-84, 86-98, 100-145, 147-182, 184-282 and 284-484.

A microarray includes a specific set of probes, such as oligonucleotides and/or cDNA's (e.g. ESTs) corresponding in whole or in part, and/or continuously or discontinuously, to regions of RNAs that can be extracted from a blood sample of a human individual; wherein the probes are localized onto a support. The probes can correspond in sequence to the RNAs of the invention such that hybridization between the RNA from the individual and the probe occurs, yielding a detectable signal. This signal can be detected and together with its location on the support can be used to determine which probe hybridized with RNA from the individual's blood sample.

In another aspect, the invention refers to the use of a hybridization array as described above and herein for the detection of NSCLC in a human individual based on RNA from a blood sample obtained from the individual, comprising determining the abundance of at least 5 RNAs, preferably at least 7 RNAs, stemming from the 484 genes listed in Table 2 in the sample.

In another aspect, the invention refers to a kit for the detection of NSCLC, comprising means for determining the abundance of at least 5, preferably at least 7 out of 484 RNAs in the sample that are chosen from the RNAs listed in table 2. Preferably said kit comprises means for determining the abundance of at least 5 RNAs chosen from the RNAs listed in Table 2, wherein the means for determining one, or two, or all six of the RNAs that is chosen from the group consisting of SEQ ID NOs:72, 85, 99, 146, 183 and 283 are excluded. In particularly preferred embodiments, the kit comprises means for determining the abundance of at least 5 RNAs as listed in Table 2 that are chosen from the group consisting of SEQ ID NOs: 1-71, 73-84, 86-98, 100-145, 147-182, 184-282 and 284-484.

Such a kit may comprise probes and/or a microarray as described above and herein. Specifically, the kit preferably comprises probes, which in turn comprise 15 to 150, preferably 30 to 70 consecutive nucleotides with a reverse complementary sequence to the at least 5 RNAs (or more, as disclosed above and herein) whose abundance is to be determined. Alternatively, the kit preferably comprises a microarray comprising probes with a reverse complementary sequence to the at least 5 RNAs whose abundance is to be determined. Optionally, the kit may further comprise a mixture of at least 5 of the RNAs of table 2 in a given amount or concentration for use as a standard and/or other components, such as solvents, buffers, labels, primers and/or reagent.

The expression profile of the herein disclosed at least 5 RNAs (or more, as disclosed above and herein) is determined, preferably through the measurement of the quantity of the mRNA of the marker gene. This quantity of the mRNA of the marker gene can be determined for example through chip technology (microarray), (RT-) PCR (for example also on fixated material), Northern hybridization, dot-blotting, sequencing, or in situ hybridization.

The microarray technology, which is most preferred, allows for the simultaneous measurement of RNA abundance of up to many thousand gene products and is therefore an important tool for determining differential expression in this context, in particular between two biological samples or groups of biological samples. As will be understood by a person of skill in the art, the analysis can also be performed through single reverse transcriptase-PCR, competitive PCR, real time PCR, differential display RT-PCR, Northern blot analysis, sequencing, and other related methods. In general, the larger the number of markers is that are to be measured, the more preferred is the use of the microarray technology.

Measurements can be performed using the complementary DNA (cDNA) or complementary RNA (cRNA), which is produced on the basis of the RNA to be analyzed, e.g. using microarrays. A great number of different arrays as well as their manufacture are known to a person of skill in the art and are described for example in the U.S. Pat. Nos. 5,445,934; 5,532,128; 5,556,752; 5,242,974; 5,384,261; 5,405,783; 5,412,087; 5,424,186; 5,429,807; 5,436,327; 5,472,672; 5,527,681; 5,529,756; 5,545,331; 5,554,501; 5,561,071; 5,571,639; 5,593,839; 5,599,695; 5,624,711; 5,658,734; and 5,700,637.

Using three independent data sets of patients and controls, the validity of whole blood-based gene expression profiling for the detection of NSCLC patients among smokers was investigated. It is shown that RNA-stabilized blood samples allow for the identification of NSCLC patients among hospital based controls as well as healthy individuals.

Using RNA-stabilized whole blood from smokers in three independent sets of NSCLC patients and controls, the inventors present a gene expression based classifier that can be used as a biomarker to discriminate between NSCLC cases and controls. The optimal parameters of this classifier were first determined by applying a classical 10-fold cross-validation approach to a training set consisting of NSCLC patients (stage I-IV) and hospital based controls (TS). Subsequently this optimized classifier was successfully applied to two independent validation sets, namely VS1 comprising NSCLC patients of stage I-IV and hospital based controls (VS1) and VS2 containing patients with stage I NSCLC and healthy blood donors. This successful application of the classifier in both validation sets underlines the validity and robustness of the classifier. Extensive permutation analysis using random feature lists and the possibility of building specific classifiers independently of the composition of the initial training set further support the specificity of the classifier. The inventors found no associations between stage of disease and the probability score assigned to each sample. In addition, the inventors observed no association between other cancers and the probability score of the controls (data not shown). But controls without documented morbidity (controls in VS2) tend to have lower probability scores to be a case as compared to controls with documented morbidity, although this was not statistically significant.

The gene set used to build the classifier was enriched in genes related to immune functions. The inventors therefore postulate, without wanting to be bound by theory, that the classifier is based on the transcriptome of blood-based immune effector cells rather than influenced by the occurrence of rare tumor cells occasionally detected in blood of cancer patients although this possibility cannot be ruled out (Nagrath, S. et al., Nature, 450: 1235-9 (2007)). Moreover, the lack of NSCLC tumor cell specific transcripts e.g. TTF1, cytokeratins or hTERT in the inventors' classifier points into the same direction. Gene set enrichment analysis (Osman, I. et al., Clin. Cancer Res., 12:3374-80 (2006)) of the gene set used in the inventors' diagnostic approach in comparison with published expression datasets from a variety of cancer entities (Segal, E. et al., Nat. Genet., 36: 1090-8 (2004)) revealed an significant overlap with 26% of the lung cancer tissue specific gene expression profiles. Since NSCLC tissue consists of tumor cells, immune and stromal cells (Critchley-Thorne, R. J. et al., PLoS Med., 4: e176 (2007)) the inventors presume that the similarities of both gene sets is due to a similar regulation of genes present in immune cells in NSCLC tissue and peripheral blood of NSCLC patients. These findings are in line with data demonstrating tumor-induced alteration of the immune system in mice (Burczynski, M. E. et al., Clin. Cancer Res., 11: 1181-9 (2005); Twine, N. C. et al., Cancer Res., 63: 6069-75 (2003)) and in men (Showe, M. K. et al., Cancer Res., 69: 9202-10 (2009); Keller, A. et al., BMC Cancer, 9: 353 (2009)).

Recently, Showe, M. K. et al., Cancer Res., 69: 9202-10 (2009) reported a NSCLC associated gene expression signature derived from PBMC of predominantly early stage NSCLC patients. Also in this study an enrichment of immune-associated pathways in the signature was observed further indicating that the alteration of the immune system might be a common feature already during the initial phase of NSCLC development. Since the inventors used RNA-stabilized whole blood and not PBMC for analysis, the signature identified by Showe et al. could not be used in the inventors' dataset to distinguish between cases and controls. The same holds true when applying the inventors' classifier to the published data set. Findings derived from several of the inventors' own studies further underline that signatures derived from PBMC and RNA-stabilized whole blood samples cannot be directly compared (Debey, S. et al., Pharmacogenomics J., 4: 193-207 (2004); Debey, S. et al., Genomics, 87: 653-64 (2006)). However, for clinical applicability and robustness, RNA-stabilized approaches reveal more reliable results in a multi-center setting (Debey, S. et al., Genomics, 87: 653-64 (2006)).

DESCRIPTION OF THE FIGURES

FIG. 1: Experimental design. In the training data set (TS) the optimal classifier was established, and then applied to two validation data sets (VS1 and VS2). To test the specificity of this optimized classifier additional 1000 classifiers using random feature lists of equal size were permuted and applied to validation set 1 and 2. SVM=support vector machine, LDA=linear discrimination analysis, PAM=prediction analysis of microarrays, NSCLC=non-small cell lung cancer.

FIG. 2: (A) Identification of the optimal algorithm for a classification based on the training set. The mean area under the receiver operator curve (AUC) is plotted against the cut-off p value of the T-statistics for feature selection for all three algorithms (SVM, LDA, PAM) in the 10-fold cross-validation of the training set. SVM leads to the highest mean AUC (mean AUC=0.754) at a cut-off p-value of 0.003 which is highlighted by a dotted line. (B) The fold change of the genes with the most significant changes (p<0.003, fold change >1.3 or <0.7, absolute difference >80) are shown. All transcripts used in the optimized classifier are given in Table 2.

FIG. 3: Performance of optimized classifier in validation set 1 and 2, respectively. The classifier established in the training set was applied to validation data set 1 and 2 respectively using SVM. (A) Receiver operating characteristic (ROC) curve for the optimized classifier applied to validation set 1 (VS1: all stage NSCLC patients and hospital based controls) AUC=0.824, p<0.001. (B) The box plot comprises 1000 AUCs obtained by using 1000 random list of 484 features to build the classifier in TS and then apply it to VS1. The real AUC using the specific classifier (see FIG. 3A) is depicted. (C) ROC curve for the optimized classifier applied to validation set 2 (VS2: stage I NSCLC patients, healthy controls) AUC=0.977 (p<0.001). (D) The box plot comprises AUCs obtained by applying 1000 randomly permutated classifiers of same feature size to validation set 2. The real AUC using the specific classifier (see FIG. 3C) is depicted. (E) Test scores to be a case of all samples from VS1 and VS2 were ranked. NSCLC cases are marked in grey and controls in black. Cases with stage I NSCLC are indicated by ▴. Membership in a specific cohort is indicated by a vertical line underneath the graph (VS1 upper row, VS2 lower row). A horizontal line is drawn at the threshold defined in TS.

DESCRIPTION OF THE LISTS

Lists 1 to 51 show exemplary sets of RNAs whose abundance in a blood sample from a human individual can be determined according to the invention to detect NSCLC in the individual. Each list shows a set of RNAs (defined by accession number and probe ID) with an area under the curve (AUC) of at least 0.8. The AUC is a quantitative parameter for the clinical utility (specificity and sensitivity) of the detection method described herein. An AUC of 1.0 refers to a sensitivity and specificity of 100%.

EXAMPLES

The invention is further described in the following non-limiting examples.

Material and Methods Cases and Controls:

NSCLC cases and hospital based controls were recruited at the University Hospital Cologne and the Lung Clinic Merheim, Cologne, Germany. Healthy blood donors were recruited at the Institute for Transfusion Medicine, University of Cologne. From all individuals, PAXgene stabilized blood samples were taken for blood-based gene expression profiling. For all NSCLC cases, blood was taken prior to chemotherapy. To establish and validate a NSCLC specific classifier, 3 independent sets of cases and controls were assembled. The training set (TS) comprised 77 individuals. 35 of those represent NSCLC cases of stage I-IV admitted to the hospital with symptoms of non-small cell lung cancer (coughing, dyspnea, weight loss or reduction in general health state) and 42 were hospital based controls with a comparable comorbidity but no prior history of lung cancer. The validation set 1 (VS1, n=54) likewise contained 28 NSCLC cases of stage I-IV and 26 hospital based controls. Overall, the hospital based controls in TS and VS1 enclosed individuals suffering from advanced chronic obstructive pulmonary disease (COPD) as typically seen in a population of heavily smoking adults (TS: n=7 VS1: n=5). Other diseases such as hypertension (TS: n=17, VS: n=11) or other malignancies (TS: n=10; VS1: n=6) were also observed in the group of hospital based controls. The validation set 2 (VS2, n=102) contained 32 NSCLC cases that had documented stage I NSCLC and were diagnosed mostly during routine chest-rays or due to clinical workup of unspecific symptoms such as reduced general health status. All individuals had an ECOG performance status of 0. In addition VS2 contains 70 healthy blood donors without prior history of lung cancer. Detailed information on cases and controls are summarized in Table 1. The analyses were approved by the local ethics committee and all probands gave informed consent.

Blood Collection, cRNA Synthesis and Array Hybridization:

Blood (2.5 ml) was drawn into PAXgene vials. After RNA isolation biotin labeled cRNA preparation was performed using the Ambion® Illumina RNA amplification kit (Ambion, UK) or Epicentre TargetAmp™ Kit (Epicentre Biotechnologies, USA) and Biotin-16-UTP (10 mM; Roche Molecular Biochemicals) or Illumina® TotalPrep RNA Amplification Kit (Ambion, UK). Biotin labeled cRNA (1.5 μg) was hybridized to Sentrix® whole genome bead chips WG6 version 2, (Illumina, USA) and scanned on the Illumina® BeadStation 500×. For data collection, the inventors used Illumina® BeadStudio 3.1.1.0 software.

Quality Control:

For RNA quality control the ratio of the OD at wavelengths of 260 nm and 280 nm was calculated for all samples and was between 1.85 and 2.1. To determine the quality of cRNA, a semi-quantitative RT-PCR amplifying a 5′ prime and a 3′ prime product of the β-actin gene was used as previously described (Zander T. et al., J. Med. Biol. Res., 39: 589-93 (2006)) and demonstrated no sign of degradation with the 5′ prime and a 3′ prime product being present. All expression data presented in this manuscript were of high quality. Quality of RNA expression data was controlled by different separate tools. First, the inventors performed quality control by visual inspection of the distribution of raw expression values. Therefore, the inventors constructed pairwise scatterplots of expression values from all arrays (R-project Vs 2.8.0) (Team RDC. R: A language and environment for statistical computing. R Foundation for Statistical Computing (2006)). For data derived from an array of good quality a high correlation of expression values is expected to lead to a cloud of dots along the diagonal. In all comparisons the r² was above 0.95. Second the present call rate was high in all samples. Finally, the inventors performed quantitative quality control. Here, the absolute deviation of the mean expression values of each array from the overall mean was determined (R-project Vs 2.8.0) (Team RDC. R: A language and environment for statistical computing. R Foundation for Statistical Computing (2006)). In short, the mean expression value for each array was calculated. Next the mean of these mean expression values (overall mean) was taken and the deviation of each array mean from the overall mean was determined (analogous to probe outlier detection used by Affymetrix before expression value calculation) (Affymetrix. Statistical algorithms description document; http://www.affymetrix.com/support/technical/whitepapers/sadd_whitepaper.pdf (2002)). The deviation was below 28 for all samples.

Classification Algorithm:

An overview of the experimental design is depicted in FIG. 1. Expression values were independently quantile normalized. The classifier for NSCLC was built and optimized based on the training set (TS, n=77; 35 NSCLC cases stage I-IV and 42 hospital based controls) using a 10 fold cross-validation design. Briefly TS was divided 10 times into an internal training and an internal validation set in a ratio 9:1 (distribution to internal validation group see Supplementary Table 1). In the internal training set the differentially expressed genes between NSCLC cases and controls were calculated using a T-test. Next, 36 different feature lists were extracted from this list of differential expressed genes by 36 times sequentially increasing the cut-off of the p-value (p=0.00001, p=0.00002, p=0.00003 . . . - . . . p=0.08, p=0.09, p=0.1). Subsequently, for each of the resulting 36 feature lists 3 different learning algorithms (support vector machine (SVM), linear discrimination analysis (LDA), and prediction analysis for microarrays (PAM)) were trained on the internal training set and used to calculate the probability score for each case of the respective internal validation set. This approach was repeated 10 times according to the 10 dataset splittings of this 10-fold cross-validation. For each of the 10 cross-validation steps the area under the receiver operator curve (AUC) was calculated for the internal validation set. For each of the 36 cut-offs the mean of the 10 AUCs was calculated. Each of the 10 split data sets was used once as internal validation set. The optimal cut-off p value of the T-statistics and the optimal classification algorithm were selected according to the maximum mean AUC ever reached in all of the three algorithms (FIG. 2). The inventors subsequently built a classifier using the respective cut-off p-value of the T-statistics and the selected algorithm in the TS. To further control for overfitting (Lee, S., Stat. Methods Med. Res., 17: 635-42 (2008)), the classifier was validated in 2 independent validation sets (VS1, comprising 28 NSCLC cases (stage I-IV) and 26 hospital based controls; VS2 comprising 32 NSCLC cases (stage I) and 70 healthy controls). The AUC was used to measure the quality of the classifier. In addition, the inventors determined a threshold of the test score in the training set to evaluate sensitivity and specificity in the validation sets. In order not to miss a potential case with NSCLC the inventors maximized the sensitivity to detect NSCLC requiring a minimum specificity (Akobeng, A., Acta Paediatr, 96: 644-7 (2007)). This specificity was defined to be at least 0.5 in its 95% confidence interval. Of note, the threshold fulfilling these criteria was determined in TS. Subsequently, all individuals in VS1 and VS2 reaching an equal or higher test score than the TS based threshold score were diagnosed as NSCLC cases and all others were diagnosed as controls. The sensitivity and specificity of this diagnostic test and its 95% confidence interval was estimated for VS1 and VS2 (Newcombe, R. G., Stat. Med., 17: 857-72 (1998)) In addition, the inventors compared the probability scores to be a NSCLC case for each case and control using T statistics. To test the specificity of the classifier the whole analysis was repeated thousand times using random feature sets of equal size. For visualisation of the test score obtained by the SVM algorithm, the inventors used the following transformation algorithm (log 2(score+1)+0.1.

Datamining:

To investigate gene ontology of transcripts used for the classifier GeneTrail analysis for over- and under-expressed genes (Backes, C. et al., Nucleic Acids Res., 35: W186-92 (2007)) was performed. To this end, the inventors analyzed the enrichment in genes in the classifier compared to all genes present on the whole array. The inventors analyzed under-respectively over-expressed genes using the hypergeometric test with a minimum of 2 genes per category.

In addition, the inventors performed datamining by Gene Set Enrichment Analysis (GSEA) (Subramanian, A. et al., Proc. Natl. Acad. Sci. USA, 102: 15545-50 (2005)). As indicated, the inventors compared the respective list of genes obtained in the inventors' expression profiling experiment with datasets deposited in the Molecular Signatures Database (MSigDB). The power of the gene set analysis is derived from its focus on groups of genes that share common biological functions. In GSEA an overlap between predefined lists of genes and the newly identified genes can be identified using a running sum statistics that leads to attribution of a score. The significance of this score is tested using a permutation design which is adapted for multiple testing (Subramanian, A. et al., Proc. Natl. Acad. Sci. USA, 102: 15545-50 (2005)). Groups of genes, called gene sets were deposited in the MSigDB database and ordered in different biological dimensions such as cancer modules, canonical pathways, miRNA targets, GO-terms etc. (http://www.broadinstitute.org/gsea/-msigdb/index.jsp). In the analysis, the inventors focused on cancer modules. The cancer modules integrated into the MSigDB are derived from a compendium of 1975 different published microarrays spanning several different tumor entities (Segal, E. et al., Nat. Genet., 36: 1090-8 (2004)).

Experimental Design:

Expression profiles were generated from PAXgene stabilized blood samples from 3 independent groups consisting of NSCLC cases and controls (n=77, 54, 102) using the Illumina WG6-VS2 system.

Results:

Several genes are consistently differentially expressed in whole blood of NSCLC patients and controls. These expression profiles were used to build a diagnostic classifier for NSCLC which was validated in an independent validation set of NSCLC patients (stage I-IV) and hospital based controls. The area under the receiver operator curve (AUC) was calculated to be 0.824 (p<0.001). In a further independent dataset of stage I NSCLC patients and healthy controls the AUC was 0.977 (p<0.001). Specificity of the classifier was validated by permutation analysis in both validation cohorts. Genes within the classifier are enriched in immune associated genes and demonstrate specificity for non-small cell lung cancer.

Conclusions:

The inventors' results show that gene expression profiles of whole blood allow for detection of manifest NSCLC. These results prompted further development of gene expression based biomarker tests in peripheral blood for the diagnosis and early detection i.e. stage I lung cancer of NSCLC.

Establishment of a Gene Expression Profiling-Based Classifier for Blood-Based Diagnosis of NSCLC:

The classifier was build based on an initial training set (TS) containing 35 NSCLC cases of different stages (stage I: n=5, stage II: n=5, stage III: n=17, stage IV: n=8) and 42 hospital based controls suffering in part from severe comorbidities such as COPD, hypertension, cardiac diseases as well as malignancies other than lung cancer. The inventors first evaluated three different approaches, namely support vector machine (SVM), linear discrimination analysis (LDA) and prediction analysis of microarrays (PAM) to identify the best algorithm to build a classifier for the diagnosis of NSCLC in a 10 fold cross-validation design. To this end, the inventors used 36 different feature lists extracted from the list of differentially expressed genes according to 36 different cut-off p-values of the T-statistics. In this setting the SVM algorithm performed best by reaching the highest AUC (mean AUC=0.754) at a cut-off p-value of the T-statistics of 0.003 (FIG. 2A). Thus for subsequent classification, the inventors applied SVM by using the 484 feature list obtained at a cut-off p-value of the T-statistics of p<0.003 for differential expressed genes between cases and controls based on the entire training set. Fold-changes of genes with most significant p-values are shown in FIG. 2B and all transcripts used in the classifier are summarized in Table 2. The inventors next maximized the sensitivity of the classifier requiring the 95% confidence interval of the specificity to still comprise 0.5. Using these criteria the threshold of the test score was determined to be 0.082. At this threshold of the test score sensitivity was determined to be 0.91 (0.75-0.97) and the specificity 0.38 (0.23-0.54), i.e. the 95° A) confidence interval comprising 0.5.

Use of the Diagnostic NSCLC Classifier to Detect NSCLC Cases in an Independent Validation Set of NSCLC Cases and Hospital Based Controls:

First it was validated whether the classifier can be used to discriminate NSCLC cases of early and advanced stages among hospital based controls. Therefore, in the first independent validation set cases and controls were chosen in a similar setting as in the training set, i.e. patients with NSCLC stage I-IV and clinical symptoms associated with lung cancer and hospital based controls with relevant comorbidities (n=26). The AUC for the diagnostic test of NSCLC in this first validation set was calculated to be 0.824 (p<0.001) (FIG. 3A). In addition, the inventors observed a significant difference between the SVM based probability scores to be a NSCLC case for actual NSCLC cases and controls in VS1 (p<0.001, T-test). Using the threshold determined in TS, the inventors observed a sensitivity of 0.61 (range 0.41-0.78) and a specificity of 0.85 (range 0.64-0.95) in VS1. Regarding only patients with stage III/IV non-small cell lung cancer (n=20) in VS1 the sensitivity was 0.70 (range 0.46-0.87) and the specificity 0.85 (range 0.64-0.95; data not shown). The inventors observed that three out of three stage I NSCLC cases had a low score in this cohort of patients with a high degree of comorbidity (FIG. 3E). Patients with NSCLC of advanced stages in VS1 were identified among hospital based controls using the threshold determined in the training set.

The Diagnostic NSCLC Classifier Identifies Stage 1 NSCLC Patients in an Independent Second Validation Set Comprising Stage I NSCLC Cases and Healthy Blood Donors:

After demonstrating that the classifier can be used to detect NSCLC cases among individuals with comorbidities it was also investigated whether this test can be used to distinguish NSCLC cases presenting at stage I with no or only minor symptoms from healthy individuals. Therefore, the inventors recruited a second independent validation set consisting of 32 NSCLC cases at stage 1 and 70 healthy blood donors (VS2). By applying the identical classifier to VS2 the AUC was determined to be 0.977 (p<0.001) (FIG. 3C). Again the classifier was used as a diagnostic test thereby applying the TS-based threshold of the test score. At this threshold the sensitivity was 0.97 (0.82-0.99) and the specificity 0.89 (0.78-0.95). The inventors also observed a highly significant difference in the probability values to be a NSCLC patient for cases in contrast to controls (p<0.001, T-test). Healthy controls without significant comorbidity (VS2) tend to have lower probability scores compared to hospital based controls (VS1 and TS) although this finding was not statistically significant (FIG. 3E). Of note, the difference in the probability score between healthy controls and patients with stage I lung cancer is more pronounced compared to the difference of probability scores between patients with NSCLC stage III/IV and patients with a similar high load of comorbidity.

Permutation Test to Analyse the Specificity of the Classifier:

To further underline the specificity of this classifier, the inventors used 1000 random feature lists each comprising 484 features to likewise build a SVM-based classifier in the training set (TS) which then were applied to validation set 1 (VS1) and validation set 2 (VS2), respectively. For VS1 the mean AUC obtained by using these random feature lists was 0.49 (range 0.1346-0.8633) with only 2 AUCs being 0.824, the AUC obtained using the NSCLC specific classifier (FIG. 3B). This corresponds to a p-value of less than 0.002 for the permutation test further confirming the specificity of the NSCLC classifier. Similarly, by applying the permuted classifiers to VS2, only 1.8% of random feature lists lead to an AUC of 0.977, the AUC obtained using the NSCLC-specific classifier (FIG. 3D). Furthermore, by merging TS and VS1 and randomly generating new dataset splitting in TS′ and VS1′ it could be demonstrated that highly specific classifiers can be built independently of the initial composition of the training set (data not shown). In conclusion, a NSCLC-specific blood-based classifier was build that was successfully used to identify NSCLC cases among hospital based controls as well as NSCLC cases of early stage among healthy individuals.

Mining of Expression Profiles:

To analyze the biological significance of the extracted 484 features derived as classifier by the SVM approach different strategies were used. First, the inventors used GeneTrail (Backes, C. et al., Nucleic Acids Res., 35: W186-92 (2007)) to analyze an enrichment in GO-terms of the genes associated with NSCLC in the inventors' study. The inventors observed 112 GO categories demonstrating a significant (p-value FDR corrected <0.05) enrichment of genes in the inventors' extracted gene list of which 25 were associated with the immune system (Table 3). These data indicate an impact of immune cells to the genes involved in the classifier.

Next, the inventors performed a gene set enrichment analysis ((Subramanian, A. et al., Proc. Natl. Acad. Sci. USA, 102: 15545-50 (2005); Segal, E. et al., Nat. Genet., 36: 1090-8 (2004)), thereby focusing on cancer modules which comprise groups of genes participating in biological processes related to cancer. Initially, the power of such modules has been demonstrated exemplarily for single genes such as cyclin D1 or PGC-1alpha (Lamb, J. et al., Cell, 114: 323-34 (2003); Mootha, V. K. et al., Nat. Genet., 34: 267-73 (2003)) and a more comprehensive view on such modules has been introduced recently (Segal, E. et al., Nat. Genet., 36: 1090-8 (2004)). This comprehensive collection of modules allows the identification of similarities across different tumor entities, such as the common ability of a tumor to metastasize to the bone e.g. in subsets of breast, lung and prostate cancer (Segal, E. et al., Nat. Genet., 36: 1090-8 (2004)). Overall, 456 such modules are described in the database spanning several biological processes such as metabolism, transcription, cell cycle and others.

When analysing the identified 484 NSCLC specific features, 199 cancer modules including 26% of all NSCLC associated modules where identified to show a significant enrichment. This indicates that genes used to build a classifier for NSCLC cases in the inventors' study represent in part a subset of biologically cooperating genes that are also differentially expressed in primary lung cancer.

To further investigate the specificity of the extracted list of 484 features obtained from the analysis for the classification of NSCLC, the inventors also calculated the overlap between this extracted gene set and a set of genes differentially expressed in the blood of patients with renal cell cancer (Twine, N. C. et al., Cancer Res., 63: 6069-75 (2003); Sharma, P. et al., Breast Cancer Res., 7: R634-44 (2005)). No significant overlap was observed for both gene sets. Similarly, no overlap was observed between the inventors' NSCLC specific gene set and gene sets obtained from blood-based expression profiles specific for melanoma (Critchley-Thorne, R. J. et al., PLoS Med., 4: e176 (2007)), breast (Sharma, P. et al., Breast Cancer Res., 7: R634-44 (2005)) and bladder (Osman, I. et al., Clin. Cancer Res., 12:3374-80 (2006)), respectively. In summary, these data point to a NSCLC specific gene set present in the inventors' classifier.

TABLE 1 Clinical and epidemiological characteristics of cases with NSCLC and respective controls. TS = training set, VS1 = validation set 1, VS2 = validation set 2, NSCLC = non-small lung cancer cases, T = Total number of cases resp. controls per data set, F = Females, M = Males, mA = median age, S = Stage, NA = not applicable, All = all cases, SCC = squamous cell cancer, AC = adenocarcinoma, LCC = large cell carcinoma TS1 VS1 VS2 NSCLC controls NSCLC controls NSCLC controls T 35 42 28 26 32 70 F 10 14 9 10 16 35 M 25 28 19 16 16 35 mA 61 61 62 65 67 44 S1 All 5 NA 6 NA 32 NA SCC 2 2 4 AC 3 4 23 LCC 0 0 5 S2 All 5 NA 2 NA 0 NA SCC 1 1 0 AC 4 1 0 LCC 0 0 0 S3 All 17 NA 12 NA 0 NA SCC 4 7 0 AC 12 5 0 LCC 1 0 0 S4 All 8 NA 8 0 NA SCC 3 0 0 AC 5 7 0 LCC 0 1 0

TABLE 2 RNAs whose abundance may be measured in the invention RNA NO/ SEQ ID NO ProbeId Gid Accession Symbol Diff Quot Ttest_p_value 1 6290561 88998614 XM_936120.1 HLA-DQA1 315.8964785 1.64433008 0.000329596 2 2900463 7108345 NM_012483.1 GNLY 926.3133937 1.612886994 0.002862239 3 3990639 36748 X00437 771.7174513 1.555765766 4.83E−05 4 670041 50477326 CR596519 548.9905075 1.522206107 3.32E−05 5 4850192 51036597 NM_006725.2 CD6 216.5093624 1.520125461 0.000132444 6 6480500 24797073 NM_033554.2 HLA-DPA1 588.5023681 1.477667953 0.00013302 7 460754 47078254 NM_212530.1 CDC25B 218.4805426 1.466578356 0.000195968 8 5960035 24850108 NM_170699.1 GPBAR1 100.9412072 1.463343623 0.00015651 9 3420630 45331203 NM_007181.3 MAP4K1 141.7841323 1.45743426 0.000621345 10 1110215 14149679 NM_015292.1 FAM62A 222.9573258 1.428150347 3.25E−05 11 1110575 51173716 NM_006720.3 ABLIM1 178.3940667 1.414951976 0.000520001 12 2760092 34147517 NM_005449.3 FAIM3 201.7565646 1.409529365 0.000634628 13 1170307 23238195 NM_000878.2 IL2RB 146.6316959 1.40578311 0.000500983 14 6960746 55774984 NM_018384.3 GIMAP5 223.2919717 1.382086438 4.02E−05 15 2680370 52426773 NM_019111.3 HLA-DRA 817.1291554 1.377401879 0.000326414 16 1820598 12545398 NM_000873.2 ICAM2 182.5185371 1.351682752 3.89E−05 17 4010053 18641371 NM_022555.3 HLA-DRB3 131.0547184 1.349610681 0.001995927 18 6760487 47778936 NM_014164.4 FXYD5 393.3630931 1.33904597 0.001262983 19 5560280 29029549 NM_017424.2 CECR1 301.0469939 1.32885363 0.002167663 20 4900053 17978510 NM_014281.3 SIAHBP1 189.9410753 1.323848811 2.21E−05 21 4760543 34335248 NM_153719.2 NUP62 118.4147225 1.307105002 1.39E−05 22 4590082 17999536 NM_006445.2 PRPF8 125.5348006 1.304518217 0.000927196 23 2690609 62526019 NM_001014433.2 CUTA 223.2296564 1.301630178 0.000120692 24 650164 4503240 NM_000896.1 CYP4F3 −315.5464725 0.699584557 3.55E−05 25 6220450 40548399 NM_005771.3 DHRS9 −181.3140503 0.694871194 0.001532317 26 3460674 47419935 NM_003137.3 SRPK1 −139.764433 0.694069927 3.60E−05 27 3990296 9951925 NM_000717.2 CA4 −213.0886356 0.693534636 0.001400277 28 160132 59938769 NM_182898.2 CREB5 −262.1114924 0.69200725 0.00019583 29 6110088 21536375 NM_005502.2 ABCA1 −111.4628782 0.659789914 0.002134427 30 6350364 41872408 NM_002704.2 PPBP −761.2674927 0.651771499 0.000630226 31 2640609 45827727 NM_005980.2 S100P −390.18098 0.625545099 0.000253144 32 1430762 6005791 NM_007199.1 IRAK3 −155.6188523 0.616800598 0.000474504 33 5130475 27477087 NM_003853.2 IL18RAP −632.4410294 0.583984119 0.000851483 34 1500328 27477086 NM_003855.2 IL18R1 −122.3006055 0.528089291 0.001627845 35 2370524 26051242 NM_007115.2 TNFAIP6 −189.5036814 0.489548363 1.09E−06 36 7550537 4502098 NM_001152.1 SLC25A5 326.6719362 1.197818187 1.44E−05 37 4280332 14251213 NM_020414.3 DDX24 75.4163163 1.309570343 3.02E−05 38 3360364 7662339 NM_014941.1 MORC2 54.87417822 1.317774309 4.03E−05 39 1780348 70908369 NM_018285.2 IMP3 148.6064801 1.240632612 5.80E−05 40 450037 55925577 NM_002348.2 LY9 64.18668944 1.337080038 7.31E−05 41 6980070 13929470 NM_004776.2 B4GALT5 −121.2712825 0.720729919 9.61E−05 42 7000133 12597634 NM_022898.1 BCL11B 87.76854653 1.366299623 0.000470008 43 1400270 20336247 NM_004716.2 PCSK7 94.29387128 1.302793128 0.000716583 44 150632 48762708 NM_022136.3 SAMSN1 −80.93158519 0.591012921 0.000781956 45 6420541 34535726 AK128384 87.13245532 1.405980431 0.001078556 46 7650025 40806176 NM_004949.2 DSC2 −93.38175241 0.642737193 0.001292334 47 5960128 21327699 NM_003487.2 TAF15 87.80187716 1.346679516 0.001679561 48 6420079 89027874 XM_291277.4 DKFZp761P0423 80.22901015 1.337704578 0.001921658 49 4590646 67089144 NM_001024667.1 FCRL3 94.2507356 1.380488839 0.002010981 50 510450 29789089 NM_018715.1 RCC2 88.67276932 1.267465318 1.24E−05 51 7380288 34147585 NM_016237.3 ANAPC5 91.54539975 1.176438251 8.97E−05 52 5900156 57013275 NM_006082.2 K-ALPHA-1 543.1415197 1.219305455 0.000108016 53 7100136 41352720 NM_078483.2 SLC36A1 −133.4968039 0.700431238 0.000133553 54 2630451 22027639 NM_003528.2 HIST2H2BE −106.9694117 0.715024497 0.000134858 55 6280754 18426908 NM_080816.1 SIRPB2 30.07920138 1.308367153 0.000139409 56 4210647 13375800 NM_024600.1 C16orf30 31.66193318 1.346066522 0.000170914 57 5700403 31982913 NM_032118.2 WDR54 67.77289263 1.331399486 0.000188678 58 6270021 14141153 NM_031203.1 HNRPM 175.5084406 1.233305528 0.00023295 59 1710286 21536460 NM_002405.2 MFNG 186.80371 1.213068636 0.000240549 60 2630154 56676368 NM_031412.2 GABARAPL1 −174.3602129 0.768240176 0.000244873 61 4060131 4758669 NM_004811.1 LPXN 169.3070648 1.22742049 0.000265747 62 610563 14141173 NM_002129.2 HMGB2 −47.59152899 0.643902556 0.000271029 63 6290431 49472821 NM_003755.2 EIF3S4 289.038097 1.265068842 0.000284449 64 7150017 58331183 NM_006429.2 CCT7 38.59039574 1.316676229 0.000311432 65 3170092 52851435 NM_015710.3 GLTSCR2 951.7801905 1.265887651 0.000319621 66 6940242 13128859 NM_004964.2 HDAC1 149.0464951 1.226649864 0.000355245 67 5130082 20149593 NM_007355.2 HSP90AB1 101.2393963 1.291963927 0.000372701 68 5310653 6912575 NM_012387.1 PADI4 −903.4667472 0.718802076 0.000399258 69 380685 34147607 NM_015953.3 NOSIP 201.9140045 1.2941855 0.00044799 70 3440431 29337284 NM_012110.2 CHIC2 −117.5328049 0.822270062 0.000549514 71 4180142 51093838 NM_016091.2 EIF3S6IP 296.2042703 1.221453733 0.000621455 72 1260228 10863876 NM_021105.1 PLSCR1 −53.52413775 0.686231584 0.00064387 73 840730 40786401 NM_199337.1 LOC374395 170.1866859 1.178701902 0.000665379 74 3370605 45237199 NM_020808.1 SIPA1L2 −58.97844017 0.687553371 0.000697156 75 5310136 75991708 NM_001033667.1 LY9 33.64428254 1.319047944 0.000716611 76 6380148 15431305 NM_033301.1 RPL8 855.395502 1.170817986 0.000768045 77 4050398 47132594 NM_213611.1 SLC25A3 190.2461506 1.160808106 0.000837252 78 6940246 292820 M97723 20.54719112 1.328176844 0.000841772 79 1690189 24234685 NM_153201.1 HSPA8 155.7459284 1.215840724 0.000855179 80 3890095 58696421 NM_002304.1 LFNG 232.3486066 1.232868306 0.001042389 81 6770348 19920316 NM_006825.2 CKAP4 −161.4085766 0.746907843 0.001086179 82 2000551 10092611 NM_016326.2 CKLF −325.605478 0.801639824 0.001103698 83 6350360 50593531 NM_005176.4 ATP5G2 516.754743 1.243669891 0.00114794 84 160240 21040370 NM_005804.2 DDX39 101.9627944 1.230286148 0.001187406 85 360066 7019566 NM_013378.1 VPREB3 58.73278863 1.504196763 0.001230244 86 3800253 89035372 XM_932678.1 LOC387841 189.24229 1.278629303 0.001252967 87 3400328 47078294 NM_000022.2 ADA 67.32199518 1.313091331 0.001361042 88 3800243 5031976 NM_005746.1 PBEF1 −348.2606482 0.718301277 0.001419039 89 650541 45935370 NM_002727.2 PRG1 −1496.501337 0.775793901 0.00150564 90 2100221 40353209 NM_017758.2 ALKBH5 161.2343238 1.161468316 0.001576054 91 6280576 21614543 NM_002964.3 S100A8 −3148.764309 0.740939542 0.001592006 92 4780672 68216098 NM_012413.3 QPCT −224.4635907 0.775514046 0.001600979 93 2510133 4506782 NM_003864.1 SAP30 −78.20837572 0.607275759 0.001706434 94 770458 70995210 NM_001398.2 ECH1 140.6533489 1.216657159 0.001780796 95 2970768 4503528 NM_001416.1 EIF4A1 408.0155473 1.170835965 0.001793442 96 2320309 89037018 XM_941325.1 LOC652025 117.8979784 1.237697761 0.001829317 97 4220181 4505370 NM_002496.1 NDUFS8 171.4535635 1.260630153 0.001853457 98 7380170 28178815 NM_174855.1 IDH3B 104.9723088 1.205100893 0.001927203 99 520647 20149601 NM_012229.2 NT5C2 −220.1185076 0.806670139 0.001970138 100 2710711 23200005 NM_149379.1 NSUN5C 34.34062961 1.320832601 0.002020028 101 2680682 47157327 NM_213636.1 PDLIM7 −106.9173695 0.774721384 0.002138706 102 3610634 41327713 NM_020531.2 C20orf3 −169.2466369 0.762496036 0.002151473 103 5860075 27436923 NM_003517.2 HIST2H2AC −148.5459367 0.787951043 0.002154776 104 1030039 21328454 NM_003516.2 HIST2H2AA −122.2515261 0.785390725 0.002180554 105 5900021 11072092 NM_018031.2 WDR6 110.7543183 1.289322955 0.002181731 106 2650390 33598947 NM_002660.2 PLCG1 65.59369512 1.328004119 0.002261605 107 20154 33624782 NM_145799.2 74.78050355 1.302850102 0.002265789 108 830400 9845520 NM_002965.2 S100A9 −1676.927338 0.75302877 0.002267466 109 3990328 37577120 NM_080387.4 CLEC4D −47.99765081 0.635020703 0.002285359 110 2970537 15431299 NM_000980.2 RPL18A 1096.761159 1.208535779 0.002326571 111 5420538 6552334 NM_000852.2 GSTP1 265.0758172 1.212234469 0.002377771 112 240608 6042201 NM_007288.1 MME −221.958069 0.761262136 0.002402057 113 10025 40788009 NM_000574.2 CD55 −178.8297083 0.72532828 0.002428894 114 290452 47519615 NM_213674.1 TPM2 30.21632141 1.308702924 0.002451226 115 7400121 13435358 NM_001923.2 DDB1 229.4803921 1.262296307 0.002565468 116 3130300 50345983 NM_001001937.1 ATP5A1 225.076896 1.147238723 0.002626228 117 6660709 6006013 NM_000632.2 ITGAM −167.4535448 0.769754788 0.002684536 118 2900482 4503518 NM_003754.1 EIF3S5 175.2963427 1.186295643 0.002708745 119 6350376 24234684 NM_006597.3 HSPA8 245.6853166 1.206537243 0.002730009 120 2070152 32130534 NM_017801.2 CMTM6 −188.8631566 0.768636189 0.002746935 121 6650020 4501944 NM_001124.1 ADM −270.3778539 0.770943537 0.002748971 122 5720458 8051633 NM_004585.2 RARRES3 228.1363976 1.255356881 0.002841093 123 5720347 14589868 NM_032966.1 BLR1 33.77133084 1.352619823 0.002843529 124 4890192 21396481 NM_003512.3 HIST1H2AC −112.3541472 0.718192715 0.002850535 125 940348 21614521 NM_012198.2 GCA −659.6345279 0.731881578 0.002891609 126 2750626 25453476 NM_001961.2 EEF2 556.3584728 1.181343779 0.002930668 127 1780035 31377794 NM_006888.2 CALM1 119.0389403 1.140092427 0.002955045 128 840564 23510386 NM_153050.1 MTMR3 −134.6471185 0.837440801 0.002971284 129 6270128 58331233 NM_000074.2 CD40LG 19.30987052 1.299106772 1.76E−05 130 2630484 88986422 XM_927593.1 ATP10B −3.310535431 0.927138841 1.93E−05 131 520332 22165415 NM_000155.2 GALT 15.96763751 1.182575744 2.05E−05 132 4730195 21264599 NM_003543.3 HIST1H4H −35.48000424 0.721118446 2.49E−05 133 3120301 51173749 NM_031488.4 L3MBTL2 23.21749718 1.214091824 4.02E−05 134 6110768 39725714 NM_004044.4 ATIC 72.99433158 1.297103547 4.63E−05 135 7150634 5902011 NM_006901.1 MYO9A 15.79647532 1.176790608 4.89E−05 136 6590386 20149679 NM_024619.2 FN3KRP 63.48415847 1.276544672 4.98E−05 137 5690037 31543829 NM_013270.2 TSP50 −4.520475047 0.914368497 5.40E−05 138 4540082 58331160 NM_015651.1 PHF19 27.47614989 1.23686341 7.56E−05 139 6380598 15529981 NM_033416.1 IMP4 34.49530681 1.205303684 7.96E−05 140 3520192 47132578 NM_004401.2 DFFA 13.05479272 1.196479136 7.97E−05 141 2450497 314309 T03068 2.937619578 1.076034692 9.15E−05 142 7320576 4503512 NM_003757.1 EIF3S2 92.09473895 1.176647021 0.000308301 143 1300768 24497575 NM_006066.2 AKR1A1 80.92050915 1.237851126 0.000645996 144 5890327 24497579 NM_001628.2 AKR1B1 83.65924065 1.273311325 0.000719704 145 460273 35493970 NM_003345.3 UBE2I 90.10026341 1.134131115 0.001168429 146 4920577 76781490 NM_007047.3 BTN3A2 93.80802363 1.266607439 0.001191858 147 650358 71773149 NM_000485.2 APRT 84.63692212 1.280817312 0.001674124 148 1190647 18375504 NM_080649.1 APEX1 89.44973593 1.233840385 0.001687003 149 5960301 38026968 NM_004649.4 C21orf33 84.66892254 1.184726723 0.001806028 150 6290239 33469921 NM_182776.1 MCM7 85.43037244 1.23369979 0.002059443 151 4280373 11496980 NM_003174.2 SVIL −86.77630886 0.817298661 0.002251248 152 5570750 31742497 NM_015374.1 UNC84B 95.70834076 1.215821376 0.002516183 153 1780152 68161540 NM_001024912.1 CEACAM1 −98.14974577 0.731931222 0.00292068 154 5390131 33469915 NM_003906.3 MCM3AP 32.02638688 1.143678564 0.000106053 155 1240603 34452172 NM_000887.3 ITGAX −22.98226817 0.818214716 0.000107483 156 2190673 41281472 NM_014738.2 KIAA0195 45.96224495 1.262020095 0.000110774 157 1580348 25141321 NM_015039.2 NMNAT2 6.84304916 1.124383533 0.000120767 158 4220138 89057421 XM_940198.1 LOC651076 10.13757955 1.165397115 0.000128251 159 3610504 38788307 NM_005476.3 GNE 18.30602894 1.161672234 0.000133964 160 3520082 4506752 NM_003707.1 RUVBL1 11.02056207 1.158636454 0.000135201 161 7160296 70980548 NM_014976.1 PDCD11 21.33989507 1.221159345 0.000135859 162 1050128 8515897 AF272739 5.425986954 1.113600395 0.000136921 163 4730577 39890659 CK300859 −3.693681288 0.918211879 0.000137667 164 5910091 30425443 NM_178510.1 ANKK1 2.967139784 1.069192658 0.000157493 165 1430292 40254427 NM_000578.2 SLC11A1 −53.76208405 0.700846833 0.000167687 166 3460189 31652246 NM_139244.2 STXBP5 −30.43225917 0.777631906 0.000172103 167 3140093 47717138 NM_006767.2 LZTR1 65.30433309 1.271997612 0.000186989 168 1440601 28872781 NM_016408.2 CDK5RAP1 25.2613611 1.174006584 0.000202701 169 3830390 89035828 XM_930898.1 KIAA0692 −2.717873701 0.926116051 0.000205305 170 5860196 23659890 BU733214 −2.809152673 0.934353946 0.000218212 171 3420735 40556369 NM_015288.4 PHF15 69.78943303 1.295589549 0.000222283 172 7050543 32967306 NM_182480.1 COQ6 13.29427898 1.129169056 0.000225323 173 5290289 34147412 NM_032312.2 YIPF4 −50.40343731 0.765323005 0.000234467 174 6590523 56119213 NM_024711.3 GIMAP6 61.57201639 1.19443786 0.000236996 175 6020402 24497619 NM_014230.2 SRP68 28.09091984 1.155068368 0.000260218 176 5550746 63029931 NM_152272.2 CHMP7 43.03363654 1.222857885 0.00026052 177 160736 7706484 NM_016292.1 TRAP1 20.89088823 1.24310651 0.000270249 178 3840022 12707569 NM_004092.2 ECHS1 48.95693214 1.230257197 0.000274708 179 20647 40807451 NM_015062.3 PPRC1 20.40411099 1.172512955 0.000283424 180 3370687 16445420 NM_052837.1 SCAMP3 67.26265306 1.266481175 0.000291089 181 5310754 55956897 NM_015935.4 KIAA0859 13.16095145 1.140721813 0.000296022 182 2710397 24497489 NM_003059.2 SLC22A4 −40.49246287 0.777411881 0.000298583 183 4850541 75750528 NM_016552.2 ANKMY1 2.735334806 1.065736829 0.000317215 184 6100220 6005951 NM_007255.1 B4GALT7 29.14447929 1.228247363 0.000318886 185 10541 13194198 NM_023003.1 TM6SF1 −42.63413583 0.75244874 0.000319057 186 5720398 31341089 NM_173791.2 PDZD8 −20.13545497 0.805850726 0.000321296 187 4540301 45827722 NM_206914.1 DKFZP586D0919 11.93196859 1.166543095 0.000322081 188 2100035 31543661 NM_004226.2 STK17B −56.28618761 0.726985134 0.000323173 189 5090477 20336255 NM_138687.1 PIP5K2B 4.198748845 1.077633516 0.000323344 190 130403 56550113 NM_006567.2 FARS2 15.61874075 1.144473414 0.000328093 191 5390669 5453556 NM_006321.1 ARIH2 43.41521242 1.16984795 0.000330449 192 2760563 77404351 NM_001414.2 EIF2B1 26.53165567 1.152983904 0.000332202 193 1440382 33359700 NM_182688.1 UBE2G2 39.95896434 1.258246254 0.000339206 194 2260446 89027447 XM_935843.1 LOC653832 −3.084729823 0.927141 0.000346447 195 2030544 89026490 XM_936353.1 LOC642196 6.598817511 1.139296555 0.000346604 196 1440546 73486657 NM_002080.2 GOT2 48.7873308 1.230560635 0.00035799 197 5270500 16936531 NM_000075.2 CDK4 39.00645813 1.28126712 0.000367439 198 2750408 88971019 XM_939707.1 RUVBL1 16.22168355 1.191413103 0.000375432 199 6980274 16199327 BI915661 3.572189393 1.088541696 0.000376532 200 4200538 7657121 NM_015721.1 GEMIN4 29.79545919 1.244092425 0.000387475 201 6550142 6552335 NM_003819.2 PABPC4 43.32832748 1.217948334 0.000387574 202 7000408 13376877 NM_025263.1 PRR3 10.71405587 1.132753454 0.000391734 203 3140246 40255000 NM_033111.2 LOC88523 −78.75175311 0.776953228 0.000391929 204 4230653 24497586 NM_139247.2 ADCY4 −35.6351327 0.787114348 0.000397239 205 3420343 46409267 NM_207311.1 CCDC64 30.70426568 1.287470221 0.00040278 206 4150402 2963496 AA868051 2.919731911 1.06730094 0.000407376 207 2100333 38683839 NM_198196.1 CD96 51.45503197 1.281782623 0.000407931 208 4150161 4502676 NM_001779.1 CD58 −48.65350702 0.744869256 0.000410831 209 4880364 13129091 NM_024092.1 TMEM109 61.87509923 1.260473608 0.0004333 210 2230661 20428651 NM_005356.2 LCK 28.15648785 1.240489001 0.000447815 211 2450343 27828388 BX096685 4.718261846 1.099375057 0.000459923 212 6840408 2354214 AA576740 2.46572254 1.061515186 0.000464263 213 3140039 21314659 NM_016230.2 CYB5R4 −69.25618425 0.757186116 0.000474673 214 2900524 41352701 NM_001384.3 DPH2 30.82374927 1.211102665 0.000489612 215 6480170 52632380 NM_001005333.1 MAGED1 44.33620059 1.280407525 0.000496684 216 4120133 31542722 NM_022827.2 SPATA20 22.43434012 1.234512657 0.000496736 217 4780743 4885224 NM_005243.1 EWSR1 65.31825131 1.149756619 0.000520842 218 7150601 7661785 NM_014165.1 C6orf66 6.495115777 1.112031506 0.000522811 219 5310050 12232384 NM_022730.1 COPS7B 20.43313854 1.159974145 0.000523392 220 3130091 46358357 NM_017905.3 TMCO3 −52.34722897 0.774257356 0.000525503 221 4860132 7662451 NM_015239.1 AGTPBP1 −78.07936872 0.798836295 0.000529903 222 3780689 70608210 NM_016489.11 NT5C3 −33.80520978 0.771229 0.000530225 223 1030692 27436906 NM_004927.2 MRPL49 41.36497592 1.196106353 0.000541915 224 4830435 39812071 NM_030811.3 MRPS26 24.14041112 1.209465158 0.000546594 225 4830563 33620778 NM_012321.2 LSM4 46.65393084 1.19050163 0.000557036 226 3940368 89057924 XM_928933.1 FLJ32154 2.730511524 1.07060656 0.000558628 227 1980424 13129119 NM_024108.1 TRAPPC6A 30.5100061 1.204130632 0.000560504 228 3130711 22748936 NM_020750.1 XPO5 12.09222819 1.135424285 0.000572639 229 620722 4506444 NM_002896.1 RBM4 43.5385138 1.203671935 0.000578613 230 3400504 66933015 NM_000884.2 IMPDH2 69.11593701 1.25700787 0.000583684 231 2750521 57634533 NM_015135.1 NUP205 29.42766456 1.221266897 0.000585225 232 4060056 55749643 NM_015054.1 KIAA0701 −12.83668481 0.883051575 0.000597219 233 4640044 21040335 NM_138931.1 BCL6 −5.775066733 0.890317809 0.00060429 234 6110537 88967388 XM_931928.1 LOC642816 2.637522553 1.065666772 0.000612974 235 4640528 13435126 NM_025228.1 TRAF3IP3 75.87438371 1.216408031 0.000615875 236 5860400 19557649 NM_021052.2 HIST1H2AE −11.74106542 0.820379932 0.000618118 237 990273 34222323 NM_015380.3 SAMM50 47.44338392 1.204119339 0.00063726 238 3990465 89038158 XM_496059.2 LOC440261 2.890329302 1.065568707 0.000641851 239 4860296 42558244 NM_032320.4 BTBD10 −25.33553958 0.830860508 0.000644443 240 1110358 27469749 BC041984 −5.896873872 0.901523403 0.000669438 241 5130767 52352808 NM_005902.3 SMAD3 27.20027806 1.165895949 0.00067007 242 6980609 40255221 NM_178839.3 LRRTM1 −3.098540364 0.930415728 0.000677469 243 2630719 57222567 NM_005937.2 MLLT6 67.91872541 1.270330562 0.000681074 244 7380274 68509917 NM_007167.2 ZMYM6 52.66472418 1.182129748 0.000687399 245 6480328 39725684 NM_025150.3 TARSL1 6.593485366 1.123027001 0.000690243 246 5820348 48314819 NM_017570.1 OPLAH −45.18509526 0.713924556 0.000703103 247 130113 56699400 NM_052901.2 SLC25A25 18.42042548 1.167822465 0.000707163 248 6860243 24430138 NM_015540.2 RPAP1 7.937422972 1.134855062 0.00071637 249 5900414 5031814 NM_005548.1 KARS 23.41578115 1.134554539 0.000730069 250 1340338 89041598 XM_377476.3 MGC57346 17.93153367 1.232438001 0.000733975 251 2850576 68160936 NM_005082.4 TRIM25 −23.69158863 0.821748384 0.000737703 252 6960328 75677605 NM_001033515.1 LOC389833 5.635808116 1.113339339 0.000738593 253 20224 47894448 NM_206967.1 MGC17624 5.464481452 1.099129587 0.000741223 254 4560463 4290896 AI433683 −4.20815397 0.91832369 0.000764668 255 5490142 50363239 NM_002685.2 EXOSC10 64.67454838 1.261126978 0.000769548 256 240653 19603939 BM981444 −2.329460443 0.946403267 0.000785871 257 2750070 18375517 NM_001854.2 COL11A1 −3.554107591 0.934385923 0.000788658 258 6020575 14249551 NM_032839.1 DIRC2 −35.91490208 0.820367822 0.000797516 259 3710189 38201688 NM_002883.2 RANGAP1 65.259255 1.257018161 0.000797921 260 2710278 52851445 NM_005412.4 SHMT2 65.41415964 1.2526449 0.000800169 261 360343 17105402 NM_005103.3 FEZ1 12.70533853 1.203271429 0.00082364 262 2690576 55953121 NM_015705.4 RUTBC3 14.20156258 1.166207066 0.00084996 263 2120681 13376061 NM_024740.1 ALG9 12.03252127 1.167495262 0.000852968 264 1410369 41350203 NM_016286.2 DCXR 36.20150781 1.200362836 0.000857671 265 4850438 39777595 NM_021809.4 TGIF2 16.93614892 1.169575173 0.000858382 266 7100392 16753208 NM_017481.2 UBQLN3 4.445833834 1.083359837 0.000865917 267 1340731 21361349 NM_006643.2 SDCCAG3 29.22941312 1.187927522 0.00086772 268 2450603 32967290 NM_181803.1 UBE2C −13.65767785 0.824486907 0.000875883 269 3390458 25777636 NM_002243.3 KCNJ15 −68.77822725 0.761196715 0.000892396 270 1990673 52851448 NM_173659.2 RPUSD3 26.38750171 1.177225317 0.000894737 271 4150632 21618346 NM_002756.2 MAP2K3 3.058914147 1.065607186 0.000899878 272 130451 10835100 NM_021078.1 GCN5L2 45.23903059 1.24691539 0.000902329 273 10338 72534727 NM_001031717.1 CRELD1 22.42405663 1.23243055 0.000913686 274 1500040 30581134 NM_006306.2 SMC1L1 7.353409474 1.122782283 0.00092398 275 730725 40068037 NM_016524.2 SYT17 3.962856298 1.08382056 0.000932685 276 3800270 4757937 NM_000648.1 CCR2 −2.41229231 0.939356527 0.000934322 277 5090204 7661547 NM_015702.1 C2orf25 −79.93887985 0.842935199 0.000959059 278 3170468 7706726 NM_016089.1 ZNF589 28.88231896 1.256897786 0.000963048 279 50164 41281436 NM_014669.2 NUP93 28.51197413 1.174573985 0.000965886 280 4050411 34222200 NM_153329.2 ALDH16A1 53.51905541 1.260140642 0.000966212 281 380315 7705725 NM_015959.1 TXNDC14 36.56045278 1.18069957 0.000967375 282 6650541 70980545 NM_176880.4 TRA16 14.18996137 1.190005746 0.000987075 283 1440291 14589867 NM_001716.2 BLR1 4.157558649 1.091968062 0.00099509 284 4880373 27842881 BX096603 10.23388569 1.158997206 0.000998463 285 2120356 39888074 CK299581 2.430006552 1.065215654 0.001020522 286 160682 54112120 NM_012426.3 SF3B3 44.15684822 1.219213777 0.001029969 287 4280047 34577088 NM_183382.1 RNF13 −75.68323448 0.750155587 0.001037306 288 1740576 41281526 NM_014871.2 USP52 19.95561799 1.213504932 0.001055174 289 2480082 35493922 NM_006031.3 PCNT2 29.27063181 1.159621239 0.001070467 290 6110328 23111065 NM_003645.2 SLC27A2 −4.068829061 0.923612267 0.001075869 291 6660056 13743863 BG217842 −33.02507288 0.769709246 0.001076096 292 1500717 73765543 NM_000314.3 PTEN −65.04739132 0.804962827 0.001088331 293 7330487 52485986 NM_002566.4 P2RY11 28.34353619 1.266107577 0.00109239 294 2510324 7253951 AW578902 −5.837784587 0.909758543 0.001097496 295 2760110 31542241 NM_017917.2 C14orf10 −58.83249801 0.816539548 0.001102809 296 3140142 32698741 NM_020925.1 CACHD1 −2.700091737 0.936782452 0.001113125 297 6400563 14150188 NM_032369.1 MGC15619 27.91382697 1.187624618 0.001114572 298 7000768 63003900 NM_017773.2 LAX1 36.42003819 1.258339525 0.001121704 299 2030450 6912355 NM_012155.1 EML2 42.34533266 1.168946841 0.001122558 300 3930687 71061448 NM_024326.2 FBXL15 41.8339122 1.225791909 0.00112491 301 770452 89029874 XM_928878.1 LOC392364 3.076035108 1.070389607 0.001136035 302 4390615 19924152 NM_138557.1 TLR4 −47.03190471 0.76415391 0.001140352 303 2190524 46370053 NM_019011.4 TRIAD3 24.07686324 1.177162245 0.001145386 304 5360674 32455240 NM_178232.2 HAPLN3 17.16381664 1.244549462 0.001189577 305 4760364 62912469 NM_001017403.1 LGR6 15.47756491 1.23125561 0.001208655 306 4150768 7661817 NM_014181.1 HSPC159 −19.17476534 0.78372152 0.001216429 307 2970332 50593004 NM_006328.2 RBM14 73.69517521 1.214022777 0.001227948 308 2370341 88982372 XM_932015.1 LOC643401 2.094536796 1.05887807 0.001232055 309 940754 7657332 NM_014358.1 CLEC4E −29.11656126 0.74583825 0.00124297 310 1090048 48976062 NM_153611.3 CYBASC3 49.70244398 1.217479345 0.001247126 311 5910343 88953692 XM_929793.1 LOC646836 6.392732823 1.113777423 0.001249592 312 2810674 88970691 XM_942926.1 LOC647649 2.321532121 1.054742893 0.001252869 313 6350017 4505462 NM_003632.1 CNTNAP1 8.432099288 1.161986349 0.001272112 314 2000390 32130539 NM_012395.2 PFTK1 −11.44388985 0.844274751 0.001272449 315 360402 12383073 NM_022830.1 RBM21 12.81737281 1.157133003 0.001289751 316 6270364 77157783 NM_015044.3 GGA2 54.90600546 1.283424211 0.001302584 317 7510224 89037451 XM_929560.1 ACOT1 5.220050681 1.097059274 0.001314489 318 3850025 21536366 NM_139353.1 TAF1C 75.95063347 1.204746923 0.001320044 319 2640373 71040087 NM_000449.3 RFX5 40.58475673 1.195639991 0.001352801 320 1940543 62243651 NM_001013848.1 EXOC6 −35.01537314 0.76458234 0.001357439 321 1820142 34147665 NM_006374.3 STK25 30.72099994 1.157095215 0.001358231 322 1470332 21450778 NM_145036.1 MGC33887 2.451633821 1.057340207 0.001380734 323 2070241 23397461 NM_153211.1 C18orf17 26.57907091 1.195520367 0.001380825 324 6200746 39725655 NM_032376.2 TMEM101 20.79524943 1.135857258 0.001392087 325 5130154 2115625 AA431917 2.687068685 1.060681089 0.001397186 326 7650605 13489098 NM_024681.1 KCTD17 42.15691645 1.219877312 0.001398325 327 990224 40538798 NM_020131.3 UBQLN4 44.15987403 1.241656798 0.001409781 328 6110142 21389554 NM_144666.1 DNHD1 10.18272952 1.176487041 0.001414669 329 520154 34527067 AK130294 21.74202891 1.237530114 0.001416293 330 2650164 57164941 NM_001008938.1 CKAP5 29.33938351 1.191276253 0.001417373 331 6370463 89047258 XM_925913.1 LOC653063 2.808209897 1.065349534 0.00141842 332 6020500 27477133 NM_024923.2 NUP210 37.64775789 1.196401091 0.001418525 333 7380328 11141876 NM_021805.1 SIGIRR 25.06501581 1.245654007 0.001427724 334 4200451 88983572 XM_068632.5 LOC133993 3.341967043 1.065344844 0.001430887 335 1430156 13129099 NM_024096.1 XTP3TPA 21.55693285 1.173886359 0.001430912 336 2490747 4501840 NM_001605.1 AARS 77.76894401 1.276356344 0.001432837 337 1010612 31542677 NM_031206.2 LAS1L 12.21303662 1.172490221 0.001437935 338 2630181 38570053 NM_020408.3 C6orf149 8.470600619 1.14906581 0.001455672 339 1450082 29789121 NM_021117.1 CRY2 17.52300597 1.161214169 0.001456531 340 3940020 38149169 CF887308 2.194774646 1.057872899 0.001465205 341 2970440 51592099 NM_014675.2 CROCC 5.396550969 1.094770922 0.001466061 342 3990192 6912279 NM_012111.1 AHSA1 28.18197892 1.15069417 0.001481716 343 3830278 12751496 NM_023080.1 C8orf33 11.18572632 1.129068947 0.001502437 344 2070131 22035596 NM_031420.2 MRPL9 31.85307452 1.167431606 0.001511617 345 6040259 31652258 NM_032853.2 MUM1 21.48103217 1.229453813 0.001518048 346 650014 37237779 CF619198 2.327816537 1.063259079 0.0015214 347 1690504 27831422 BX101820 2.143929406 1.056737612 0.00152161 348 5080056 39841072 NM_018079.3 FLJ10379 −24.26466131 0.832390434 0.001525093 349 7100504 39652617 NM_004623.2 TTC4 36.08459854 1.184629696 0.001561337 350 5890273 21071040 NM_014141.3 CNTNAP2 6.595271148 1.146748332 0.001599007 351 7610546 40255053 NM_032717.3 HMFN0839 −54.94911949 0.781061678 0.001603755 352 6020132 41281777 NM_152943.1 ZNF268 2.648966818 1.059765454 0.001607376 353 6110133 15042936 NM_007365.1 PADI2 −9.370076681 0.86480149 0.001614081 354 2000474 17965839 BM272556 −2.55867557 0.936510151 0.001622817 355 2030747 34222148 NM_032138.3 KBTBD7 −29.27404586 0.760659869 0.001628042 356 5560093 34531894 AK125708 3.295857766 1.075280337 0.001644271 357 610465 41393562 NM_015074.2 KIF1B −69.35956203 0.733288248 0.001645719 358 3400372 53692181 NM_015002.2 FBXO21 26.3299661 1.15897828 0.001663991 359 6580075 20149575 NM_006164.2 NFE2L2 −62.000525 0.78335815 0.001666828 360 5130747 23238724 BU587445 5.206540958 1.107947177 0.001673048 361 6650576 24787676 CA424950 2.962661443 1.070519384 0.001676488 362 4120086 13569871 NM_030915.1 LBH 4.189390797 1.079490285 0.001706774 363 3130019 20143980 NM_014234.3 HSD17B8 21.75170555 1.196488957 0.001711828 364 4200148 42660194 XM_378421 14.16364107 1.189819518 0.001713891 365 940706 88989505 XM_939144.1 LOC650058 2.002405673 1.048229223 0.001739768 366 20553 42789728 NM_006152.2 LRMP −74.82036091 0.849300145 0.001740334 367 5550270 27838297 BX113537 3.941936997 1.086914048 0.00175354 368 4570612 51477715 NM_006122.2 MAN2A2 −44.39209005 0.795587215 0.001768914 369 3390008 24475884 NM_003475.2 RASSF7 57.42044838 1.233262979 0.001787024 370 4730088 50484029 CR603222 3.836354648 1.077928085 0.001799439 371 670376 38158012 NM_182830.2 MAMDC1 2.798906913 1.068655473 0.0018053 372 7400431 24234746 NM_004515.2 ILF2 63.52810868 1.160207487 0.001806039 373 520360 40254941 NM_020448.2 NPAL3 20.03362452 1.165178541 0.00181287 374 1240440 48762680 NM_000701.6 ATP1A1 37.53285116 1.204524584 0.001815625 375 6380358 73912719 NM_001032363.1 C1orf151 3.003480865 1.065127964 0.001856986 376 7400240 50541941 NM_000488.2 SERPINC1 2.88345468 1.067256547 0.001886392 377 6110672 68303646 NM_001025077.1 CUGBP2 −49.70921613 0.826255573 0.001902574 378 7050196 88988812 XM_943393.1 LOC647784 2.371716902 1.058914165 0.001918129 379 1070377 66346718 NM_207106.2 UIP1 32.34029956 1.192004187 0.0019244 380 50347 57862814 NR_002196.1 H19 4.098623993 1.09014366 0.001939512 381 6510452 7794142 AW779539 2.742193271 1.058591264 0.001982133 382 5130142 50301239 NM_001001998.1 EXOSC10 23.91241934 1.189832508 0.001984951 383 6770142 37693992 NM_002513.2 NME3 51.08647128 1.205555171 0.001991096 384 3400176 39725947 NM_015517.3 MIZF 13.64333077 1.107326504 0.001995042 385 610653 4826650 NM_004928.1 C21orf2 33.52242941 1.236381199 0.001998985 386 3940386 39995110 NM_000849.3 GSTM3 8.079852703 1.155645076 0.002004006 387 2100519 54144638 NM_006469.4 IVNS1ABP −63.08035217 0.81392201 0.002018303 388 5130553 19001887 BM688622 2.603201451 1.065274697 0.002038439 389 5690008 4885584 NM_005500.1 SAE1 75.82328648 1.157051883 0.002042091 390 7160164 40354200 NM_199184.1 C6orf108 26.45996909 1.188835551 0.002055282 391 4610619 34147351 NM_024046.2 CAMKV −3.847147069 0.927934773 0.002074291 392 4010673 38149909 NM_198138.1 SEC31L2 10.15672126 1.132559406 0.00207951 393 3780220 8922497 NM_018129.1 PNPO 47.19395989 1.242699483 0.002083951 394 3440040 88989998 XM_944927.1 LOC649242 −2.349265137 0.942740447 0.002090613 395 6040639 4757733 NM_004833.1 AIM2 −39.37522134 0.756948245 0.002136117 396 430100 34222094 NM_012212.2 LTB4DH −2.891199796 0.93528499 0.002137898 397 5270450 31004095 CD243631 −2.682928323 0.934932365 0.002141697 398 4900497 18979657 BM669760 2.394474482 1.055793869 0.002144886 399 6250338 22748798 NM_152371.1 C1orf93 20.43951257 1.20374194 0.002146632 400 5720424 54607107 NM_031449.3 DKFZp761I2123 28.39880817 1.24615102 0.002146928 401 5570632 51587022 CR738137 −3.700734709 0.919525529 0.002155079 402 2650152 29789109 NM_020698.1 TMCC3 −29.36456043 0.795720773 0.002157529 403 5390100 42544135 NM_015713.3 RRM2B −28.5915367 0.768583225 0.002165583 404 6380050 74229007 NM_001032999.1 CBFA2T2 3.841545355 1.0857201 0.002166999 405 4260053 19747275 NM_133325.1 PHF10 49.7681192 1.179062329 0.002169686 406 4810327 2046104 AA393134 −2.484180664 0.938614611 0.002175145 407 5720497 25777601 NM_002808.3 PSMD2 31.15011938 1.146090486 0.002181127 408 630091 21536482 NM_003518.3 HIST1H2BG −13.60500067 0.819384796 0.00218131 409 2850274 88952955 XM_926366.1 LOC653181 −1.935228719 0.953381316 0.002182192 410 1710100 54860104 NM_018054.4 ARHGAP17 53.494328 1.203378443 0.002183767 411 6650482 27811314 CB066794 2.266652104 1.055934349 0.002184843 412 6040196 34335276 NM_015568.2 PPP1R16B 28.57922477 1.214435517 0.002197064 413 2510132 34147385 NM_024844.2 NUP85 25.75983033 1.159776012 0.002199934 414 3460242 20127505 NM_006556.2 PMVK 16.95917741 1.145346624 0.002201696 415 5870300 19592429 BM974838 3.55266692 1.080305117 0.00220268 416 1010754 34101267 NM_020803.3 KLHL8 −26.74101975 0.788060862 0.002203432 417 4540088 16877451 BC016972 −3.538684311 0.925430866 0.002221092 418 630768 13399321 NM_024662.1 NAT10 18.28438533 1.168615183 0.00222234 419 3840131 13376746 NM_025152.1 NUBPL 6.311302866 1.116147303 0.002242144 420 5050390 58331183 NM_006429.2 CCT7 36.9437154 1.173816637 0.002248928 421 730543 54144651 NM_001517.4 GTF2H4 14.70939523 1.167778973 0.002249712 422 840139 24792039 CA429313 2.270203986 1.054352894 0.002252613 423 7380241 39812261 NM_003530.3 HIST1H3D −21.86668228 0.793726621 0.00226776 424 3940338 12669910 NM_005225.1 E2F1 −5.162386453 0.908474544 0.002305931 425 7650458 62422567 NM_001313.3 CRMP1 5.572953708 1.098993806 0.00231087 426 6110132 13376252 NM_024839.1 RPP21 59.80821658 1.179349782 0.002310908 427 3130291 27886542 NM_004555.2 NFATC3 15.6758675 1.14504507 0.002320651 428 7380347 55743082 NM_001006940.1 ALG3 23.9546724 1.169231331 0.002321091 429 6550762 27734876 NM_173555.1 TYSND1 36.94434887 1.185786991 0.002333003 430 1030041 40788014 NM_021209.3 CARD12 −24.56951249 0.818818786 0.002358744 431 1820341 21396488 NM_004793.2 PRSS15 22.47364221 1.206078489 0.002396097 432 2370593 66348044 NM_016478.3 ZC3HC1 19.91283504 1.166411255 0.002399701 433 6650403 7706336 NM_016057.1 COPZ1 40.88815665 1.163358795 0.002410936 434 3710228 62739164 NM_182943.2 PLOD2 −6.41581762 0.875464193 0.002417035 435 1090139 24475981 NM_016464.2 HSPC196 22.43444477 1.189752629 0.002427259 436 2070494 24234749 NM_012218.2 ILF3 66.65536913 1.264598066 0.00246216 437 6480458 71773200 NM_001030018.1 APRT 49.22444358 1.266012441 0.002496455 438 830754 11277467 NM_006427.2 SIVA 15.28911626 1.123182292 0.002511787 439 5090554 38016938 NM_002150.2 HPD −6.000610516 0.892380431 0.002530391 440 5090047 28416952 NM_032501.2 ACSS1 35.01148376 1.184237465 0.002539779 441 4880681 21361381 NM_007171.2 POMT1 12.61365289 1.174440001 0.002541681 442 7200477 6640026 AW263210 −1.678426858 0.960397391 0.002564708 443 2750035 65508349 NM_001018062.1 LOC51149 2.484711498 1.062668028 0.002577857 444 3290019 54607143 NM_152735.3 ZBTB9 14.11460038 1.157880814 0.002589178 445 3850020 10437827 AK025332 −26.25812165 0.759114727 0.002632909 446 5670274 22035641 NM_030644.1 APOL3 28.59518167 1.194613178 0.002633129 447 2760064 24234721 NM_006260.2 DNAJC3 −6.571723401 0.884214748 0.002633237 448 5570661 34147500 NM_020315.3 PDXP 25.74017676 1.220220548 0.002654539 449 5090315 51094102 NM_019082.2 DDX56 52.28321626 1.235529494 0.002654824 450 3140088 45387930 NM_205548.1 UNQ9217 −3.394067971 0.932686171 0.002657711 451 4010048 34304338 NM_004035.4 ACOX1 −43.72066716 0.802689627 0.002662627 452 7380736 40317621 NM_199176.1 MRRF 4.945702746 1.084721323 0.002666503 453 1170139 52421789 NM_033141.2 MAP3K9 3.726192295 1.066369155 0.002667438 454 5260184 32217345 CD693563 10.93731216 1.194775359 0.002672296 455 7320594 55956901 NM_006724.2 MAP3K4 21.59370431 1.158641495 0.002720574 456 4900398 89060532 XM_946033.1 LOC652809 −3.418618822 0.935923831 0.002738753 457 2850288 31077212 NM_001530.2 HIF1A −17.7068821 0.797710279 0.002742525 458 6660471 25306269 NM_016050.2 MRPL11 28.56600561 1.177667177 0.002745508 459 1710189 5453751 NM_006424.1 SLC34A2 2.229363981 1.050166934 0.002749561 460 6620674 34147574 NM_006410.3 HTATIP2 −17.29978654 0.88693604 0.002756336 461 5890494 47834345 NM_012257.3 HBP1 −50.56848683 0.83510744 0.002765307 462 7160767 89042800 XM_945544.1 UBE2Z 55.13945078 1.130117008 0.002775733 463 1510224 53729323 NM_017838.3 NOLA2 35.91106831 1.179080572 0.002802852 464 380541 27436919 NM_003971.3 SPAG9 −16.78481129 0.871575447 0.00282301 465 1450523 89035472 XM_930820.1 LRRK2 −68.96090215 0.719755782 0.002825347 466 6520241 23510351 NM_020679.2 MIF4GD 27.40320804 1.159950156 0.002830456 467 60468 17017983 NM_001261.2 CDK9 24.99861391 1.168629649 0.00283774 468 6110228 50355989 NM_173855.3 MORN3 3.709222234 1.08270705 0.002842034 469 580050 31543835 NM_016616.2 TXNDC3 −27.04827067 0.793501561 0.00284596 470 3780243 55953128 NM_001550.2 IFRD1 −50.9467186 0.757230602 0.002863928 471 5090647 2816926 AA765688 −2.251315518 0.946398658 0.002880931 472 5340162 56550038 NM_005933.2 MLL 23.28905135 1.270793653 0.00290127 473 7560603 21071035 NM_020926.2 BCOR 3.835536594 1.073378361 0.002913866 474 5820465 21361852 NM_020405.3 PLXDC1 10.07727623 1.144744368 0.002918091 475 7000224 20336295 NM_018380.2 DDX28 12.70400328 1.117735353 0.002939555 476 3420682 9257200 NM_015722.2 DRD1IP 3.175697509 1.074847011 0.002940764 477 1470541 24532964 CA314866 −2.368897154 0.945452428 0.002942185 478 940450 61966858 NM_001013706.1 LOC440503 −6.987092813 0.869107661 0.002951728 479 6270215 89041715 XM_373742.4 MGC40489 3.326299967 1.07180415 0.002959387 480 5050653 24432071 NM_145032.2 FBXL13 −18.83916692 0.810627797 0.002971531 481 1070189 5729975 NM_006608.1 PHTF1 −24.33989005 0.794747722 0.002986487 482 650767 30795205 NM_006243.2 PPP2R5A −67.1556536 0.847031344 0.002994704 483 6280168 21450799 NM_145043.1 NEIL2 19.88048242 1.19544672 0.002995077 484 2640278 22027508 NM_017955.2 CDCA4 6.698447811 1.111031409 0.002997021

TABLE 3 Svm algorithm perform.Ttest <- function(data.set,classes,class.1,class.2) {  data1 <- data.set[,which(classes == class.1)]  data2 <- data.set[,which(classes == class.2)]  matrixForTTest <- cbind(data1,data2)  num.data1 <- dim(data1)[2]  num.Total <- dim(matrixForTTest)[2]  Ttest_p_value <- apply( matrixForTTest , 1 , function(x , nData1, nTotal) { t.test( x[1:nData1], x[nData1+1:nTotal] )$p.value } , nData1 = num.data1 , nTotal = num.Total )  return(Ttest_p_value) } ######################## MAINPROGRAMM ######################################### ### Daten laden ### load(src.file.data.train) pc <- raw.Data classes.pc <- sampleSheet[,3] ### LOO CV ### pvals.pc1 <- perform.Ttest(pc[,-1],classes.pc[-1],class.1,class.2) pvals.pc2 <- perform.Ttest(pc[,-2],classes.pc[-2],class.1,class.2) pvals.pc3 <- perform.Ttest(pc[,-3],classes.pc[-3],class.1,class.2) pvals.pc4 <- perform.Ttest(pc[,-4],classes.pc[-4],class.1,class.2) pvals.pc5 <- perform.Ttest(pc[,-5],classes.pc[-5],class.1,class.2) pvals.pc6 <- perform.Ttest(pc[,-6],classes.pc[-6],class.1,class.2) pvals.pc7 <- perform.Ttest(pc[,-7],classes.pc[-7],class.1,class.2) pvals.pc8 <- perform.Ttest(pc[,-8],classes.pc[-8],class.1,class.2) pvals.pc9 <- perform.Ttest(pc[,-9],classes.pc[-9],class.1,class.2) pvals.pc10 <- perform.Ttest(pc[,-10],classes.pc[-10],class.1,class.2) pvals.pc11 <- perform.Ttest(pc[,-11],classes.pc[-11],class.1,class.2) pvals.pc12 <- perform.Ttest(pc[,-12],classes.pc[-12],class.1,class.2) pvals.pc13 <- perform.Ttest(pc[,-13],classes.pc[-13],class.1,class.2) pvals.pc14 <- perform.Ttest(pc[,-14],classes.pc[-14],class.1,class.2) pvals.pc15 <- perform.Ttest(pc[,-15],classes.pc[-15],class.1,class.2) pvals.pc16 <- perform.Ttest(pc[,-16],classes.pc[-16],class.1,class.2) pvals.pc17 <- perform.Ttest(pc[,-17],classes.pc[-17],class.1,class.2) pvals.pc18 <- perform.Ttest(pc[,-18],classes.pc[-18],class.1,class.2) pvals.pc19 <- perform.Ttest(pc[,-19],classes.pc[-19],class.1,class.2) pvals.pc20 <- perform.Ttest(pc[,-20],classes.pc[-20],class.1,class.2) pvals.pc21 <- perform.Ttest(pc[,-21],classes.pc[-21],class.1,class.2) pvals.pc22 <- perform.Ttest(pc[,-22],classes.pc[-22],class.1,class.2) pvals.pc23 <- perform.Ttest(pc[,-23],classes.pc[-23],class.1,class.2) pvals.pc24 <- perform.Ttest(pc[,-24],classes.pc[-24],class.1,class.2) pvals.pc25 <- perform.Ttest(pc[,-25],classes.pc[-25],class.1,class.2) pvals.pc26 <- perform.Ttest(pc[,-26],classes.pc[-26],class.1,class.2) pvals.pc27 <- perform.Ttest(pc[,-27],classes.pc[-27],class.1,class.2) pvals.pc28 <- perform.Ttest(pc[,-28],classes.pc[-28],class.1,class.2) pvals.pc29 <- perform.Ttest(pc[,-29],classes.pc[-29],class.1,class.2) pvals.pc30 <- perform.Ttest(pc[,-30],classes.pc[-30],class.1,class.2) pvals.pc31 <- perform.Ttest(pc[,-31],classes.pc[-31],class.1,class.2) pvals.pc32 <- perform.Ttest(pc[,-32],classes.pc[-32],class.1,class.2) pvals.pc33 <- perform.Ttest(pc[,-33],classes.pc[-33],class.1,class.2) pvals.pc34 <- perform.Ttest(pc[,-34],classes.pc[-34],class.1,class.2) pvals.pc35 <- perform.Ttest(pc[,-35],classes.pc[-35],class.1,class.2) pvals.pc36 <- perform.Ttest(pc[,-36],classes.pc[-36],class.1,class.2) pvals.pc37 <- perform.Ttest(pc[,-37],classes.pc[-37],class.1,class.2) pvals.pc38 <- perform.Ttest(pc[,-38],classes.pc[-38],class.1,class.2) pvals.pc39 <- perform.Ttest(pc[,-39],classes.pc[-39],class.1,class.2) pvals.pc40 <- perform.Ttest(pc[,-40],classes.pc[-40],class.1,class.2) pvals.pc41 <- perform.Ttest(pc[,-41],classes.pc[-41],class.1,class.2) pvals.pc42 <- perform.Ttest(pc[,-42],classes.pc[-42],class.1,class.2) pvals.pc43 <- perform.Ttest(pc[,-43],classes.pc[-43],class.1,class.2) pvals.pc44 <- perform.Ttest(pc[,-44],classes.pc[-44],class.1,class.2) pvals.pc45 <- perform.Ttest(pc[,-45],classes.pc[-45],class.1,class.2) pvals.pc46 <- perform.Ttest(pc[,-46],classes.pc[-46],class.1,class.2) pvals.pc47 <- perform.Ttest(pc[,-47],classes.pc[-47],class.1,class.2) pvals.pc48 <- perform.Ttest(pc[,-48],classes.pc[-48],class.1,class.2) pvals.pc49 <- perform.Ttest(pc[,-49],classes.pc[-49],class.1,class.2) pvals.pc50 <- perform.Ttest(pc[,-50],classes.pc[-50],class.1,class.2) pvals.pc51 <- perform.Ttest(pc[,-51],classes.pc[-51],class.1,class.2) pvals.pc52 <- perform.Ttest(pc[,-52],classes.pc[-52],class.1,class.2) pvals.pc53 <- perform.Ttest(pc[,-53],classes.pc[-53],class.1,class.2) pvals.pc54 <- perform.Ttest(pc[,-54],classes.pc[-54],class.1,class.2) pvals.pc55 <- perform.Ttest(pc[,-55],classes.pc[-55],class.1,class.2) pvals.pc56 <- perform.Ttest(pc[,-56],classes.pc[-56],class.1,class.2) pvals.pc57 <- perform.Ttest(pc[,-57],classes.pc[-57],class.1,class.2) pvals.pc58 <- perform.Ttest(pc[,-58],classes.pc[-58],class.1,class.2) pvals.pc59 <- perform.Ttest(pc[,-59],classes.pc[-59],class.1,class.2) pvals.pc60 <- perform.Ttest(pc[,-60],classes.pc[-60],class.1,class.2) pvals.pc61 <- perform.Ttest(pc[,-61],classes.pc[-61],class.1,class.2) pvals.pc62 <- perform.Ttest(pc[,-62],classes.pc[-62],class.1,class.2) pvals.pc63 <- perform.Ttest(pc[,-63],classes.pc[-63],class.1,class.2) pvals.pc64 <- perform.Ttest(pc[,-64],classes.pc[-64],class.1,class.2) pvals.pc65 <- perform.Ttest(pc[,-65],classes.pc[-65],class.1,class.2) pvals.pc66 <- perform.Ttest(pc[,-66],classes.pc[-66],class.1,class.2) pvals.pc67 <- perform.Ttest(pc[,-67],classes.pc[-67],class.1,class.2) pvals.pc68 <- perform.Ttest(pc[,-68],classes.pc[-68],class.1,class.2) pvals.pc69 <- perform.Ttest(pc[,-69],classes.pc[-69],class.1,class.2) pvals.pc70 <- perform.Ttest(pc[,-70],classes.pc[-70],class.1,class.2) pvals.pc71 <- perform.Ttest(pc[,-71],classes.pc[-71],class.1,class.2) pvals.pc72 <- perform.Ttest(pc[,-72],classes.pc[-72],class.1,class.2) pvals.pc73 <- perform.Ttest(pc[,-73],classes.pc[-73],class.1,class.2) pvals.pc74 <- perform.Ttest(pc[,-74],classes.pc[-74],class.1,class.2) pvals.pc75 <- perform.Ttest(pc[,-75],classes.pc[-75],class.1,class.2) pvals.pc76 <- perform.Ttest(pc[,-76],classes.pc[-76],class.1,class.2) pvals.pc77 <- perform.Ttest(pc[,-77],classes.pc[-77],class.1,class.2) pvals.all <- perform.Ttest(pc,classes.pc,class.1,class.2) save( pvals.pc1, pvals.pc2, pvals.pc3, pvals.pc4, pvals.pc5, pvals.pc6, pvals.pc7, pvals.pc8, pvals.pc9, pvals.pc10,   pvals.pc11, pvals.pc12, pvals.pc13, pvals.pc14, pvals.pc15, pvals.pc16, pvals.pc17, pvals.pc18, pvals.pc19, pvals.pc20,   pvals.pc21, pvals.pc22, pvals.pc23, pvals.pc24, pvals.pc25, pvals.pc26, pvals.pc27, pvals.pc28, pvals.pc29, pvals.pc30,   pvals.pc31, pvals.pc32, pvals.pc33, pvals.pc34, pvals.pc35, pvals.pc36, pvals.pc37, pvals.pc38, pvals.pc39, pvals.pc40,   pvals.pc41, pvals.pc42, pvals.pc43, pvals.pc44, pvals.pc45, pvals.pc46, pvals.pc47, pvals.pc48, pvals.pc49, pvals.pc50,   pvals.pc51, pvals.pc52, pvals.pc53, pvals.pc54, pvals.pc55, pvals.pc56, pvals.pc57, pvals.pc58, pvals.pc59, pvals.pc60,   pvals.pc61, pvals.pc62, pvals.pc63, pvals.pc64, pvals.pc65, pvals.pc66, pvals.pc67, pvals.pc68, pvals.pc69, pvals.pc70,   pvals.pc71, pvals.pc72, pvals.pc73, pvals.pc74, pvals.pc75, pvals.pc76, pvals.pc77,   pc , classes.pc, file=out.file.tmp) ######################################### ### SVM ### load(file=out.file.tmp) pvals.choose <- c(seq(0.00009,0.00009,0.00001),seq(0.0001,0.0009,0.0001),seq(0.001,0.009,0.001 )) aucs <- data.frame( row.names=seq(1,length(pvals.choose),1) , “SVM.AUC”=rep(NA,length(pvals.choose)) , “PAM.AUC”=rep(NA,length(pvals.choose)) , “LDA.AUC”=rep(NA,length(pvals.choose)) ) sensitivity <- c(rep(0,length(pvals.choose))) specifity <- c(rep(0,length(pvals.choose))) k <- 1 for(j in pvals.choose){  svm.predictions <- data.frame(“NonBC”=rep(0,77), “BC”=rep(0,77))  svm.predictions.classes <- NULL  pam.predictions <- data.frame(“NonBC”=rep(0,77), “BC”=rep(0,77))  pam.predictions.classes <- NULL  lda.predictions <- data.frame(“NonBC”=rep(0,77), “BC”=rep(0,77))  lda.predictions.classes <- NULL  for(i in 1:77){ p <- eval(parse(text=paste(“pvals.pc”,i,sep=“”))) sig.all <- which(p<j) train <- pc[sig.all,−i] classes.train <- classes.pc[−i] test <- pc[sig.all,i] classes.test <- classes.pc[i] #SVM require(e1071) SVM =svm(t(as.matrix(train)), as.factor(classes.train), kernel=“linear”,probability = T) svm.pred <- predict(SVM,t(test),probability=T) result <- table(pred = svm.pred, true = classes.test) if(classes.test==“BC”) {   sensitivity[k] <- sensitivity[k]+result[1,1]} if(classes.test==“NonBC”) {  specifity[k] <- specifity[k]+result[2,2]} pred <- attr(svm.pred,“probabilities”) svm.predictions[i,] <- pred row.names(svm.predictions)[i] <- names(pc)[i] svm.predictions.classes <- c(svm.predictions.classes , classes.test) #PAM require(pamr) train.dat <- list(x = as.matrix(train), y = as.factor(classes.train)) model <- pamr.train(train.dat) pam.predictions[i,] <- pamr.predict(model, as.matrix(test), 0,type=“posterior”) row.names(pam.predictions)[i] <- names(pc)[i] pam.predictions.classes <- c(pam.predictions.classes , classes.test) #LDA require(MASS) train.lda <- lda(t(as.matrix(train)), as.factor(classes.train)) lda.predictions[i,] <- predict(train.lda, t(test))$posterior row.names(lda.predictions)[i] <- names(pc)[i] lda.predictions.classes <- c(lda.predictions.classes , classes.test)  }  require(ROCR)  pred.dist <- svm.predictions[,which(colnames(svm.predictions)==“BC”)]  pred.rocr <- prediction(pred.dist,as.factor(svm.predictions.classes))  perf.rocr <- performance(pred.rocr,measure=“auc”)  aucs$“SVM.AUC”[k] <- as.numeric(perf.rocr@y.values)  require(ROCR)  pred.dist <- pam.predictions[,which(colnames(pam.predictions)==“BC”)]  pred.rocr <- prediction(pred.dist,as.factor(pam.predictions.classes))  perf.rocr <- performance(pred.rocr,measure=“auc”)  aucs$“PAM.AUC”[k] <- as.numeric(perf.rocr@y.values)  require(ROCR)  pred.dist <- lda.predictions[,which(colnames(lda.predictions)==“BC”)]  pred.rocr <- prediction(pred.dist,as.factor(lda.predictions.classes))  perf.rocr <- performance(pred.rocr,measure=“auc”)  aucs$“LDA.AUC”[k] <- as.numeric(perf.rocr@y.values)  row.names(aucs)[k] <- j  k<-k+1 } jpeg(filename=out.file.auc) plot(as.matrix(aucs$“SVM.AUC”), ylim=(0:1), main=“Auc LOOCV T-Test”, xlab=“cut-offs F-statistic”, ylab=“AUC”,xaxt=“n”,type=“l” ,col=“red”) lines(as.matrix(aucs$“PAM.AUC”), col=“green”) lines(as.matrix(aucs$“LDA.AUC”), col=“blue”) lines( c(0,length(pvals.choose)) , c(0.5,0.5) ) legend( “topleft” , c(“SVM”,“PAM”,“LDA”), cex=0.8, col=c(“red”,“green”,“blue”), lty=1) axis(1, at=1:length(pvals.choose) ,lab=rep(“”,length(pvals.choose)) ) axis(1, at=seq(1,length(pvals.choose),3) , lab=pvals.choose[seq(1,length(pvals.choose),3)] ,lwd.ticks=2) dev.off( ) # Cutoff anwenden load(file=out.file.tmp) data.sig.all <- as.data.frame(which(pvals.all<=0.003) ) pc.new <- merge(pc,data.sig.all[−1], by.x=“row.names”, by.y=“row.names”) row.names(pc.new) <- pc.new$Row.names pc.new$Row.names <- NULL load(src.file.data.test) pc.l.new <- merge(raw.Data,data.sig.all[−1], by.x=“row.names”, by.y=“row.names”) row.names(pc.1.new) <- pc.1.new$Row.names pc.1.new$Row.names <- NULL classes.pc1 <- sampleSheet[,3] rm(raw.Data, sampleSheet) ### ROC-Kurve ### require(e1071) SVM = svm(t(as.matrix(pc.new)), as.factor(classes.pc), kernel=“linear”, cross=10, probability = TRUE) svm.pred <- predict(SVM,t(pc.1.new),probability=T) table(pred = svm.pred, true = classes.pc1) fisher.test(table(pred = svm.pred, true = classes.pc1)) pred <- attr(svm.pred,“probabilities”) require(ROCR) pred.dist <- pred[,which(colnames(pred)==class.1)] pred.rocr <- prediction(pred.dist,as.factor(classes.pc1)) perf.rocr <- performance(pred.rocr,measure=“auc”) as.numeric(perf.rocr@y.values) perf.rocr <- performance(pred.rocr,“tpr”,“fpr”) jpeg(file=out.file.roc) plot(perf.rocr, main=paste(“ROC - AUC: ”, format(unlist(performance(pred.rocr,measure=“auc”)@y.values),digits=4),“ Cutoff: 0.003”, sep=“” ) ) lines( x=c(0,1) , y=c(0,1) , type=“l”, col=“red”) dev.off( ) # YoudenIndex optimierung roc <- performance(pred.rocr,“tpr”,“fpr”) abc <- data.frame(“Sens” = attr(roc,“y.values”) , “Spez” = attr(roc,“x.values”), “YoudenIndex”=0) names(abc) <- c(“Sens”,“Spez”,“YoudenIndex”) abc$Spez <- 1−abc$Spez abc$YoudenIndex <- abc$Sens + abc$Spez−1 index <- match(max(abc$YoudenIndex),abc$YoudenIndex) points( x=(1−abc$Spez[index]) , y=(abc$Sens[index]) , col=“green”, pch=19, cex=1.5) dev.off( ) Lists 9.00E−05 List 1 List 2 List 3 AUC 0.87 1.00 1.00 Number of 5 6 5 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_007115 2370524 3.72E−06 NM_000155 V520332 2.35E−05 NM_000896 650164 4.19E−05 NM_014941 3360364 4.61E−05 NM_007115 2370524 5.38E−06 AF272739 1050128 8.83E−05 NM_016553 4760543 2.55E−05 NM_025153 2630484 4.79E−05 NM_007115 2370524 2.66E−05 NM_014281 4900053 1.89E−05 NM_031488 3120301 7.69E−05 NM_025153 2630484 5.73E−06 NM_000074 6270128 8.15E−05 NM_016553 4760543 4.28E−05 NM_003543 4730195 7.59E−05 NM_013270 5690037 5.68E−05 List 4 List 5 List 6 AUC 0.867 1.00 0.9167 Number of 6 7 7 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_018715 510450 9.61E−05 NM_000155 520332 2.35E−05 NM_000896 650164 4.19E−05 NM_007115 2370524 3.72E−06 NM_007115 2370524 5.38E−06 AF272739 1050128 8.83E−05 NM_014941 3360364 4.61E−05 NM_025153 2630484 4.79E−05 NM_007115 2370524 2.66E−05 NM_016553 4760543 2.55E−05 NM_031488 3120301 7.69E−05 T03068 2450497 9.16E−05 NM_014281 4900053 1.89E−05 NM_016553 4760543 4.28E−05 NM_025153 2630484 5.73E−06 NM_000074 6270128 8.15E−05 NM_014281 4900053 9.51E−05 XM_930898 3830390 9.69E−05 NM_013270 5690037 5.68E−05 NM_003543 4730195 7.59E−05 List 7 List 8 AUC 0.8 0.833 Number of 37 25 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_018715 510450 4.67E−05 NM_018715 510450 1.30E−05 NM_000155 520332 2.39E−05 NM_000155 520332 6.03E−05 NM_000896 650164 1.21E−05 CR596519 670041 4.42E−05 CR596519 670041 1.02E−05 NM_004927 1030692 6.28E−05 AF272739 1050128 6.73E−05 NM_015292 1110215 4.92E−05 NM_015292 1110215 1.94E−05 NM_016408 1440601 4.37E−05 NM_000578 1430292 3.80E−05 NM_001099786 1820598 3.38E−05 NM_018285 1780348 2.00E−05 NM_007115 2370524 1.79E−05 NM_001099786 1820598 4.24E−05 T03068 2450497 5.57E−05 NM_007115 2370524 7.19E−06 NM_025153 2630484 9.60E−05 NM_031412 2630154 8.06E−05 NM_001014838 2690609 9.68E−05 NM_003528 2630451 7.07E−05 NM_006767 3140093 9.93E−05 NM_025153 2630484 4.77E−05 NM_014941 3360364 7.94E−05 NM_001014838 2690609 7.10E−05 NM_005476 3610504 5.91E−06 NM_003059 2710397 4.94E−05 X00437 3990639 7.90E−05 NM_031488 3120301 4.99E−05 NM_001042631 4220138 3.86E−05 NM_014941 3360364 9.68E−05 NM_016553 4760543 3.10E−05 NM_139244 3460189 2.29E−05 NM_014281 4900053 4.57E−05 NM_003137 3460674 5.14E−05 NM_178510 5910091 3.75E−05 NM_213566 3520192 2.97E−05 NM_005968 6270021 5.91E−05 X00437 3990639 7.23E−05 NM_000074 6270128 2.40E−05 NM_020414 4280332 6.03E−05 NM_024619 6590386 4.64E−05 NM_003543 4730195 4.77E−05 NM_018384 6960746 9.79E−05 CK300859 4730577 3.41E−06 NM_006901 7150634 6.17E−05 NM_016553 4760543 3.19E−05 NM_001152 7550537 3.79E−05 NM_016552 4850541 8.90E−05 NM_014281 4900053 3.39E−05 NM_013270 5690037 5.55E−05 BU733214 5860196 3.30E−05 NM_005384 6100228 9.53E−05 NM_000074 6270128 2.47E−05 NM_033416 6380598 1.82E−05 NM_018384 6960746 5.30E−05 NM_004776 6980070 6.26E−05 NM_006901 7150634 5.85E−05 NM_003757 7320576 6.47E−05 NM_001152 7550537 1.15E−05 List 9 List 10 AUC 0.867 0.9167 Number of 21 51 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_018715 510450 9.61E−05 NM_021872 460754 0.000157328 NM_015039 1580348 0.000158009 NM_000155 520332 6.47E−05 BX101820 1690504 0.000106674 NM_002129 610563 0.000110345 NM_002405 1710286 0.000137385 NM_000896 650164 0.000103802 NM_017758 2100221 0.000121456 CR596519 670041 0.000147265 NM_014738 2190673 0.000184581 NM_015292 1110215 8.41E−05 XM_935843 2260446 0.000153083 NM_015039 2190673 0.000174147 NM_007115 2370524 3.72E−06 NM_002405 7550537 9.18E−06 NM_025153 2630484 0.000144774 NM_018285 1780348 8.15E−05 NM_031488 3120301 0.000157583 NM_001099786 1820598 9.65E−05 NM_014941 3360364 4.61E−05 NM_001040138 2000551 6.52E−05 NM_003137 3460674 0.000140303 NM_014738 1580348 0.000162896 CK300859 4730577 0.00010617 XM_935843 3120301 0.000142293 NM_016553 4760543 2.55E−05 T03068 2450497 0.000138607 NM_014281 4900053 1.89E−05 NM_025153 2630484 0.000126567 NM_000074 6270128 8.15E−05 NM_005980 2640609 0.000165184 NM_001040107 6400563 0.000184244 NM_017917 2760110 0.000181821 NM_024619 6590386 0.000143395 NM_031488 6590386 6.95E−05 NM_004776 6980070 0.000192696 NM_033111 3140246 0.000174455 NM_078483 7100136 0.000161958 NM_014941 3460674 0.000102057 NM_001152 7550537 0.00016679 NM_005698 3370687 0.00019446 NM_213566 3520192 7.56E−05 X00437 3990639 0.000122793 NM_004811 4060131 0.00014067 NM_001779 4150161 0.000137216 NM_020414 4280332 1.23E−05 NM_003543 4730195 0.000118733 NM_005243 4780743 8.83E−05 NM_024092 4880364 6.99E−05 NM_001007239 5310754 0.000166279 NM_003906 5390131 6.40E−05 NM_001001998 5490142 5.97E−05 NM_013270 5690037 9.97E−05 NM_173791 5720398 0.000168409 BU733214 5860196 0.000116941 NM_006082 5900156 9.05E−05 NM_014230 6020402 2.36E−05 NM_004044 6110768 3.35E−05 NM_005968 6270021 0.000159063 NM_000074 510450 3.90E−06 NM_001040107 6270128 3.02E−05 NM_033554 6480500 0.000149827 NM_024619 3360364 8.60E−05 NM_001007224 6590523 0.000167323 NM_018384 6960746 0.000124128 NM_004776 4760543 1.67E−05 NM_078483 4900053 5.14E−05 NM_006901 7150634 2.12E−05 NM_014976 7160296 6.53E−05 NM_016237 7380288 6.12E−05 NM_001152 2370524 6.45E−07 List 11 List 12 AUC 0.9167 0.9167 Number of 44 11 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_018715 510450 5.75E−05 NM_018715 510450 0.000153 NM_023003 10541 0.000152211 NM_000896 650164 4.19E−05 NM_206967 20224 0.000148094 AF272739 1050128 8.83E−05 NM_015062 20647 0.000190585 NM_007115 2370524 2.66E−05 NM_016292 160736 9.71E−05 T03068 2450497 9.16E−05 NM_002348 450037 0.000158029 NM_003528 2630451 0.000164 NM_000155 520332 2.00E−05 NM_025153 2630484 5.73E−06 NM_000896 650164 2.29E−05 XM_930898 3830390 9.69E−05 CR596519 670041 5.24E−05 NM_003543 4730195 7.59E−05 NM_015292 1110215 5.97E−05 NM_000074 6270128 0.000132 NM_015039 2190673 0.000148025 NM_001152 7550537 0.000158 NM_002405 7550537 9.37E−05 NM_018285 1780348 0.000157742 NM_001099786 1820598 5.51E−05 XM_935843 3120301 0.00010759 T03068 2450497 6.26E−05 NM_025153 2630484 3.78E−05 NM_005980 2640609 0.000121141 NM_003707 2750408 0.000173267 NM_031488 6590386 5.24E−05 NM_014941 3460674 4.63E−05 NM_139244 3460189 0.000136298 NM_003707 3520082 5.68E−05 NM_213566 3520192 0.000197506 XM_930898 3830390 0.000190429 NM_005225 3940338 0.000175382 XM_940524 3940368 0.00018048 X00437 3990639 7.12E−05 NM_001042631 4220138 0.000174952 NM_020414 4280332 4.19E−05 NM_003543 4730195 8.13E−05 NM_007047 4920577 0.000118817 NM_032312 5290289 0.000171985 NM_013270 5690037 1.52E−05 NM_004044 6110768 4.01E−05 NM_000074 510450 5.75E−05 NM_001040107 6270128 0.000192081 NM_024619 3360364 4.62E−05 NM_018384 6960746 5.22E−05 NM_004776 4760543 9.71E−05 NM_182476 7050543 0.000184808 NM_078483 4900053 6.86E−05 NM_006901 7150634 0.000149288 NM_001152 2370524 3.63E−06 List 13 List 14 List 15 AUC 0.93 0.83 0.9167 Number of 34 39 16 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_182898 160132 0.000251 NM_015062 20647 0.00029 NM_018715 510450 0.000153 NM_018715 510450 9.61E−05 NM_018715 510450 0.000131 NM_000896 650164 4.19E−05 NM_000155 520332 0.000228 NM_000155 520332 2.35E−05 XR_015582 770452 0.000289 NM_000896 650164 0.000219 NM_000896 650164 0.00015 AF272739 1050128 8.83E−05 NM_000887 1240603 0.000255 CR596519 670041 0.000147 NM_007115 2370524 2.66E−05 NM_015039 1580348 0.000158 AF272739 1050128 0.000152 T03068 2450497 9.16E−05 BX101820 1690504 0.000107 NM_015292 1110215 0.00015 NM_003528 2630451 0.000164 NM_002405 1710286 0.000137 NM_000878 1170307 0.000104 NM_025153 2630484 5.73E−06 NM_018285 1780348 0.000257 NM_000887 1240603 0.000197 NM_014941 3360364 0.000257 NM_017758 2100221 0.000121 NM_015039 1580348 0.000112 XM_930898 3830390 9.69E−05 NM_014738 2190673 0.000185 NM_198196 2100333 0.000214 NM_003543 4730195 7.59E−05 XM_935843 2260446 0.000153 NM_014738 2190673 0.000171 NM_016553 4760543 0.000244 NM_007115 2370524 3.72E−06 XM_935843 2260446 0.000147 NM_000074 6270128 0.000132 NM_025153 2630484 0.000145 NM_007115 2370524 5.38E−06 NM_033416 6380598 0.000237 NM_031488 3120301 0.000158 T03068 2450497 0.000187 NM_006901 7150634 0.000284 NM_014941 3360364 4.61E−05 NM_025153 2630484 4.79E−05 NM_001152 7550537 0.000158 NM_003137 3460674 0.00014 NM_031488 3120301 7.69E−05 NM_005476 3610504 0.000258 NM_014941 3360364 0.000147 AA868051 4150402 0.000262 NM_015288 3420735 0.000198 AI863525 4230520 0.000274 NM_003137 3460674 0.000151 CK300859 4730577 0.000106 NM_213566 3520192 0.000105 NM_016553 4760543 2.55E−05 XM_930898 3830390 0.000161 NM_016552 4850541 0.000257 X00437 3990639 0.000235 NM_014281 4900053 1.89E−05 AA868051 4150402 0.000207 NM_013270 5690037 0.000251 NM_024600 4210647 0.000148 NM_006082 5900156 0.000222 NM_020414 4280332 0.000117 NM_170699 5960035 0.000233 NM_003543 4730195 0.000236 NM_000074 6270128 8.15E−05 NM_016553 4760543 4.28E−05 NM_001040107 6400563 0.000184 NM_016552 4850541 0.000256 NM_024619 6590386 0.000143 NM_014281 4900053 9.51E−05 NM_004776 6980070 0.000193 NM_032312 5290289 0.000232 NM_178839 6980609 0.000248 NM_013270 5690037 5.68E−05 NM_078483 7100136 0.000162 NM_004044 6110768 0.000153 NM_001152 7550537 0.000167 NM_000074 6270128 0.000174 NM_033554 6480500 0.000209 NM_024619 6590386 0.000208 NM_018384 6960746 0.000158 NM_182476 7050543 0.000265 NM_001152 7550537 0.000125 9.00E−05 List 16 List 17 AUC 0.8 0.81 Number of 114 84 Transcritps Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_001031717 10338 0.00014759 NM_005621 10279 0.000319 NM_052901 130113 5.90E−05 NM_023003 10541 0.000152 NM_006567 130403 8.09E−07 NM_206967 20224 0.000148 NM_015959 380315 0.0001248 NM_015062 20647 0.000191 NM_002348 450037 8.79E−05 NM_182898 160132 0.000213 NM_021872 460754 0.000253124 NM_012426 160682 0.000377 NM_018715 510450 1.80E−06 NM_016292 160736 9.71E−05 NM_000155 520332 8.15E−05 NM_015953 380685 0.000244 NM_000896 650164 0.000170918 NM_002348 450037 0.000158 CR596519 670041 6.83E−05 NM_021872 460754 0.000351 NM_015380 990273 0.000176623 NM_018715 510450 5.75E−05 NM_004927 1030692 0.000146305 NM_000155 520332 2.00E−05 NM_207107 1070377 0.000203913 NM_002896 620722 0.000361 NM_015292 1110215 3.74E−05 NM_000896 650164 2.29E−05 BC041984 1110358 0.000201154 CR596519 670041 5.24E−05 NM_000887 1240603 0.000236913 NM_006427 830754 0.000392 XM_377476 1340338 0.000233235 AF272739 1050128 0.000316 NM_001039708 1340731 5.81E−05 NM_015292 1110215 5.97E−05 NM_003343 1440382 0.000126291 NM_006720 1110575 0.000394 NM_016408 1440601 0.000195316 NM_000887 1240603 0.000241 NM_006306 1500040 0.000291636 NM_021105 1260228 0.000289 NM_014871 1740576 9.36E−05 NM_016286 1410369 0.000395 NM_018285 1780348 5.10E−05 NM_000578 1430292 0.000338 NM_001099786 1820598 6.60E−05 NM_015039 1580348 0.000205 NM_012155 2030450 0.000283925 NM_018285 1780348 0.000158 XM_936353 2030544 0.000118328 NM_001099786 1820598 5.51E−05 NM_198196 2100333 0.000249598 NM_024108 1980424 0.00027 NM_001077692 2120681 0.000202234 NM_004226 2100035 0.000292 NM_207111 2190524 0.0001217 NM_198196 2100333 0.000398 NM_014738 2190673 4.12E−05 NM_014738 2190673 0.000148 NM_007115 2370524 4.06E−06 NM_007115 2370524 3.63E−06 NM_016478 2370593 0.000228737 T03068 2450497 6.26E−05 BX096685 2450343 0.000103314 NM_025153 2630484 3.78E−05 T03068 2450497 0.000235319 NM_005980 2640609 0.000121 NM_006031 2480082 0.000250813 NM_001014838 2690609 0.000394 NM_001076785 2480402 0.000171592 NM_003707 2750408 0.000173 NM_020408 2630181 0.000135713 NM_031488 3120301 0.000108 NM_003528 2630451 0.000263022 NM_014941 3360364 4.62E−05 NM_025153 2630484 3.24E−05 NM_207311 3420343 0.000375 NM_213636 2680682 0.000119947 NM_015288 3420735 0.000203 NM_001014838 2690609 0.00026644 NM_139244 3460189 0.000136 NM_001854 2750070 0.000215687 NM_003137 3460674 4.63E−05 NM_015135 2750521 1.66E−05 NM_003707 3520082 5.68E−05 NM_005082 2850576 0.000150478 NM_213566 3520192 0.000198 NM_001384 2900524 0.000145624 XM_930898 3830390 0.00019 NM_031488 3120301 5.41E−05 NM_005225 3940338 0.000175 NM_020750 3130711 0.000215113 XM_940524 3940368 0.00018 NM_016089 3170468 0.000221173 X00437 3990639 7.12E−05 NM_152735 3290019 0.000144544 NM_022827 4120133 0.000262 NM_014941 3360364 2.76E−05 NM_001779 4150161 0.000305 NM_015002 3400372 0.000174547 AA868051 4150402 0.000383 NM_207311 3420343 0.00018972 NM_001042631 4220138 0.000175 NM_012110 3440431 0.00014229 NM_020414 4280332 4.19E−05 NM_003137 3460674 0.000114516 NM_015651 4540082 0.000227 NM_003707 3520082 3.93E−05 NM_003543 4730195 8.13E−05 NM_213566 3520192 3.69E−05 NM_016553 4760543 9.71E−05 NM_005476 3610504 2.07E−05 NM_012413 4780672 0.000392 NM_004092 3840022 0.000122704 NM_006725 4850192 0.000207 NM_003496 3850286 0.000181352 NM_016552 4850541 0.000202 XM_496059 3990465 0.000230631 NM_015239 4860132 0.000272 X00437 3990639 6.35E−05 NM_014281 4900053 6.86E−05 NM_004811 4060131 0.000261106 NM_007047 4920577 0.000119 NM_015721 4200538 8.54E−05 NM_032312 5290289 0.000172 NM_024600 4210647 4.75E−05 NM_006321 5390669 0.000373 NM_001042631 4220138 4.77E−05 NM_152272 5550746 0.00039 NM_020414 4280332 8.56E−05 NM_013270 5690037 1.52E−05 NM_015651 4540082 0.000102476 NM_032118 5700403 0.000289 NM_015433 4540301 1.61E−05 NM_173791 5720398 0.000249 NM_003543 4730195 3.83E−05 BU733214 5860196 0.000365 CK300859 4730577 0.000174021 NM_006082 5900156 0.000375 NM_016553 4760543 9.00E−06 XM_931928 6110537 0.0003 NM_005243 4780743 0.000257451 NM_004044 6110768 4.01E−05 NM_030811 4830435 0.00029784 NM_000074 6270128 0.000192 NM_006725 4850192 0.000196735 XM_936128 6290561 0.00025 NM_021809 4850438 2.80E−05 NM_033416 6380598 0.000273 NM_014281 4900053 4.21E−05 NM_033554 6480500 0.000219 NM_003559 5090477 0.000263019 NM_024619 6590386 5.24E−05 NM_017415 5090739 0.000149548 NM_018384 6960746 5.22E−05 NM_000075 5270500 6.52E−05 NM_004776 6980070 0.000267 NM_022730 5310050 9.54E−05 NM_182476 7050543 0.000185 NM_001033667 5310136 0.000229653 NM_006429 7150017 0.000297 NM_003906 5390131 1.50E−05 NM_006901 7150634 0.000149 NM_006321 5390669 6.58E−05 NM_016237 7380288 0.000209 NM_152272 5550746 0.000202311 NM_001152 7550537 9.37E−05 NM_013270 5690037 0.000282072 NM_032118 5700403 0.000211664 NM_006082 5900156 0.000243738 NM_170699 5960035 0.000109508 NM_007255 6100220 0.000110106 NM_004044 6110768 1.64E−05 NM_005771 6220450 0.000188396 NM_005968 6270021 8.58E−05 NM_000074 6270128 7.83E−06 NM_033416 6380598 5.97E−05 NM_001005332 6480170 0.000147564 NM_033554 6480500 0.000263731 XR_018793 6550142 0.000155407 NM_024619 6590386 2.83E−05 NM_001007224 6590523 0.00018882 NM_015540 6860243 5.47E−05 NM_018384 6960746 4.44E−05 NM_004776 6980070 6.06E−05 NM_138576 7000133 8.72E−05 NM_018380 7000224 0.000282503 NM_025263 7000408 0.000238786 NM_022163 7040598 0.000212169 NM_182476 7050543 0.000106626 NM_078483 7100136 0.000145165 NM_004623 7100504 0.000270702 NM_014165 7150601 7.64E−05 NM_006901 7150634 7.48E−05 NM_014976 7160296 0.000167977 NM_016237 7380288 9.42E−05 NM_001152 7550537 3.05E−05 List 18 List 19 AUC 1.00 0.83 Number of 58 89 Transcripts Probe Acc.-No. Probe ID p-Value Acc.-No. ID p-Value NM_015062 20647 0.00029 NM_015959 380315 0.0003 NM_182898 160132 0.000337 NM_002348 450037 0.000157 BM981444 240653 0.00033 NM_021872 460754 0.000306 NM_002348 450037 0.000343 NM_018715 510450 1.30E−05 NM_018715 510450 0.000131 NM_000155 520332 6.03E−05 NM_000155 520332 2.35E−05 NM_002896 620722 0.000193 NM_002129 610563 0.000374 CR596519 670041 4.42E−05 NM_000896 650164 0.00015 NM_004927 1030692 6.28E−05 CR596519 670041 0.000147 AF272739 1050128 0.000205 AF272739 1050128 0.000152 NM_015292 1110215 4.92E−05 NM_015292 1110215 0.00015 NM_000887 1240603 0.000262 NM_000878 1170307 0.000104 NM_000578 1430292 0.000314 NM_000887 1240603 0.000197 NM_016408 1440601 4.37E−05 NM_015039 1580348 0.000112 NM_015039 1580348 0.000304 NM_018285 1780348 0.000315 NM_018285 1780348 0.00013 NM_004226 2100035 0.000361 NM_001099786 1820598 3.38E−05 NM_198196 2100333 0.000214 XM_936353 2030544 0.00027 NM_014738 2190673 0.000171 NM_001077692 2120681 0.000383 XM_935843 2260446 0.000147 NM_014738 2190673 0.000294 NM_007115 2370524 5.38E−06 NM_007115 2370524 1.79E−05 T03068 2450497 0.000187 BX096685 2450343 0.000243 NM_025153 2630484 4.79E−05 T03068 2450497 5.57E−05 NM_001014838 2690609 0.000385 NM_025153 2630484 9.60E−05 NM_001414 2760563 0.000392 NM_019111 2680370 0.000297 NM_031488 3120301 7.69E−05 NM_001014838 2690609 9.68E−05 NM_014941 3360364 0.000147 NM_005449 2760092 0.000386 NM_015288 3420735 0.000198 NM_001414 2760563 0.000352 NM_003137 3460674 0.000151 NM_005082 2850576 0.0003 NM_213566 3520192 0.000105 NM_031488 3120301 0.000101 XM_930898 3830390 0.000161 NM_006767 3140093 9.93E−05 X00437 3990639 0.000235 NM_015710 3170092 0.000305 AA868051 4150402 0.000207 NM_014941 3360364 7.94E−05 NM_024600 4210647 0.000148 NM_001042600 3420630 0.000387 NM_020414 4280332 0.000117 NM_003137 3460674 0.000106 NM_015651 4540082 0.000304 NM_003707 3520082 0.000268 NM_003543 4730195 0.000236 NM_213566 3520192 0.000257 NM_001017404 4760364 0.00038 NM_005476 3610504 5.91E−06 NM_016553 4760543 4.28E−05 X00437 3990639 7.90E−05 NM_006725 4850192 0.000318 NM_004811 4060131 0.000337 NM_016552 4850541 0.000256 NM_022827 4120133 0.00028 NM_014281 4900053 9.51E−05 NM_024600 4210647 0.000218 AA431917 5130154 0.00036 NM_001042631 4220138 3.86E−05 NM_032312 5290289 0.000232 NM_020414 4280332 0.000117 NM_001007239 5310754 0.000388 NM_015651 4540082 0.000122 NM_013270 5690037 5.68E−05 NM_001024667 4590646 0.000137 NM_032118 5700403 0.000329 NM_003543 4730195 0.000136 NM_003645 6110328 0.000347 CK300859 4730577 0.000288 NM_004044 6110768 0.000153 NM_016553 4760543 3.10E−05 NM_000074 6270128 0.000174 NM_005243 4780743 0.000104 NM_002964 6280576 0.000386 NM_006725 4850192 0.000138 AK128384 6420541 0.000366 NM_014281 4900053 4.57E−05 NM_033554 6480500 0.000209 NM_007047 4920577 0.000318 NM_024619 6590386 0.000208 NM_007355 5130082 0.000293 NM_018384 6960746 0.000158 NM_000075 5270500 0.000307 NM_004776 6980070 0.000353 NM_001007239 5310754 0.000134 NM_182476 7050543 0.000265 NM_003906 5390131 0.000193 NM_078483 7100136 0.000348 NM_152272 5550746 0.000311 NM_001152 7550537 0.000125 NM_013270 5690037 0.000207 NM_002139 5690673 0.00033 NM_032118 5700403 0.000303 NM_001628 5890327 0.000232 NM_178510 5910091 3.75E−05 NM_170699 5960035 0.000309 NM_007255 6100220 0.000328 NM_144666 6110142 0.000278 XM_931928 6110537 0.000164 NM_004044 6110768 0.00024 NM_005968 6270021 5.91E−05 NM_000074 6270128 2.40E−05 NM_001039508 6280754 0.000111 XM_936128 6290561 0.000182 NM_033416 6380598 0.000216 NM_001005332 6480170 0.000377 NM_025150 6480328 0.000272 NM_033554 6480500 0.00015 XR_018793 6550142 0.000362 NM_024619 6590386 4.64E−05 NM_015540 6860243 0.00038 NM_004964 6940242 0.000349 NM_018384 6960746 9.79E−05 NM_014165 7150601 0.00013 NM_006901 7150634 6.17E−05 NM_014976 7160296 0.000121 NM_003757 7320576 0.000262 NM_007167 7380274 0.000374 NM_016237 7380288 0.000189 NM_199176 7380736 0.000151 NM_004515 7400431 0.000268 NM_001152 7550537 3.79E−05 List 20 List 21 AUC 0.8 0.8125 Number of 140 94 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_001031717 10338 0.000148 NM_005621 10279 0.000319 NM_052901 130113 5.90E−05 NM_023003 10541 0.000152 NM_006567 130403 8.09E−07 NM_206967 20224 0.000148 NM_016292 160736 0.000312 NM_015062 20647 0.000191 NM_015959 380315 0.000125 NM_182898 160132 0.000213 NM_002348 450037 8.79E−05 NM_012426 160682 0.000377 NM_021872 460754 0.000253 NM_016292 160736 9.71E−05 NM_018715 510450 1.80E−06 NM_015953 380685 0.000244 NM_000155 520332 8.15E−05 NM_002348 450037 0.000158 NM_024662 630768 0.000363 NM_021872 460754 0.000351 NM_000896 650164 0.000171 NM_018715 510450 5.75E−05 CR596519 670041 6.83E−05 NM_000155 520332 2.00E−05 NM_015380 990273 0.000177 NM_002129 610563 0.000424 NM_004927 1030692 0.000146 NM_002896 620722 0.000361 NM_207107 1070377 0.000204 NM_000896 650164 2.29E−05 NM_015292 1110215 3.74E−05 CR596519 670041 5.24E−05 BC041984 1110358 0.000201 NM_006427 830754 0.000392 NM_000887 1240603 0.000237 AF272739 1050128 0.000316 XM_377476 1340338 0.000233 NM_015292 1110215 5.97E−05 NM_001039708 1340731 5.81E−05 NM_006720 1110575 0.000394 NM_000578 1430292 0.000305 NM_000887 1240603 0.000241 NM_000819 1430730 0.000332 NM_021105 1260228 0.000289 NM_003343 1440382 0.000126 NM_016286 1410369 0.000395 NM_002080 1440546 0.000371 NM_000578 1430292 0.000338 NM_016408 1440601 0.000195 NM_002080 1440546 0.000463 NM_006306 1500040 0.000292 NM_015039 1580348 0.000205 NM_153201 1690189 0.000387 NM_018285 1780348 0.000158 NM_002405 1710286 0.000338 NM_001099786 1820598 5.51E−05 NM_014871 1740576 9.36E−05 NM_024108 1980424 0.00027 NM_018285 1780348 5.10E−05 XM_936353 2030544 0.000437 NM_001099786 1820598 6.60E−05 NM_004226 2100035 0.000292 NM_012155 2030450 0.000284 NM_198196 2100333 0.000398 XM_936353 2030544 0.000118 NM_014738 2190673 0.000148 NM_198196 2100333 0.00025 NM_007115 2370524 3.63E−06 NM_001077692 2120681 0.000202 T03068 2450497 6.26E−05 NM_207111 2190524 0.000122 NM_025153 2630484 3.78E−05 NM_014738 2190673 4.12E−05 NM_005980 2640609 0.000121 NM_007115 2370524 4.06E−06 NM_001014838 2690609 0.000394 NM_016478 2370593 0.000229 NM_003707 2750408 0.000173 BX096685 2450343 0.000103 NM_031488 3120301 0.000108 T03068 2450497 0.000235 NM_017905 3130091 0.000411 NM_006031 2480082 0.000251 NM_014941 3360364 4.62E−05 NM_001076785 2480402 0.000172 NM_207311 3420343 0.000375 NM_020408 2630181 0.000136 NM_015288 3420735 0.000203 NM_003528 2630451 0.000263 NM_139244 3460189 0.000136 NM_025153 2630484 3.24E−05 NM_003137 3460674 4.63E−05 NM_001025603 2640373 0.000342 NM_003707 3520082 5.68E−05 NM_213636 2680682 0.00012 NM_213566 3520192 0.000198 NM_001014838 2690609 0.000266 XM_930898 3830390 0.00019 NM_001854 2750070 0.000216 NM_005225 3940338 0.000175 NM_015135 2750521 1.66E−05 XM_940524 3940368 0.00018 NM_001414 2760563 0.000336 X00437 3990639 7.12E−05 NM_005082 2850576 0.00015 NM_030915 4120086 0.000447 NM_001384 2900524 0.000146 NM_022827 4120133 0.000262 NM_031488 3120301 5.41E−05 NM_001779 4150161 0.000305 NM_020750 3130711 0.000215 AA868051 4150402 0.000383 NM_006767 3140093 0.000376 NM_015721 4200538 0.000495 NM_016089 3170468 0.000221 NM_001042631 4220138 0.000175 NM_152735 3290019 0.000145 NM_020414 4280332 4.19E−05 NM_014941 3360364 2.76E−05 NM_015651 4540082 0.000227 NM_005698 3370687 0.000334 NM_003543 4730195 8.13E−05 NM_015002 3400372 0.000175 NM_016553 4760543 9.71E−05 NM_207311 3420343 0.00019 NM_012413 4780672 0.000392 NM_015288 3420735 0.000328 NM_006725 4850192 0.000207 NM_012110 3440431 0.000142 NM_016552 4850541 0.000202 NM_003137 3460674 0.000115 NM_015239 4860132 0.000272 NM_003707 3520082 3.93E−05 NM_032320 4860296 0.00046 NM_213566 3520192 3.69E−05 NM_014281 4900053 6.86E−05 NM_005476 3610504 2.07E−05 NM_007047 4920577 0.000119 NM_002883 3710189 0.00034 NM_032312 5290289 0.000172 XM_930898 3830390 0.000366 NM_006321 5390669 0.000373 NM_004092 3840022 0.000123 NM_152272 5550746 0.00039 NM_003496 3850286 0.000181 NM_013270 5690037 1.52E−05 XM_940524 3940368 0.000377 NM_032118 5700403 0.000289 NM_012111 3990192 0.000308 NM_173791 5720398 0.000249 XM_496059 3990465 0.000231 BU733214 5860196 0.000365 X00437 3990639 6.35E−05 NM_006082 5900156 0.000375 NM_015054 4060056 0.000332 NM_007255 6100220 0.000447 NM_004811 4060131 0.000261 XM_931928 6110537 0.0003 NM_015721 4200538 8.54E−05 NM_004044 6110768 4.01E−05 NM_024600 4210647 4.75E−05 NM_000074 6270128 0.000192 NM_001042631 4220138 4.77E−05 XM_936128 6290561 0.00025 NM_020414 4280332 8.56E−05 NM_033416 6380598 0.000273 NM_015651 4540082 0.000102 NM_033554 6480500 0.000219 NM_015433 4540301 1.61E−05 NM_024619 6590386 5.24E−05 NM_025228 4640528 0.000324 NM_018384 6960746 5.22E−05 NM_003543 4730195 3.83E−05 NM_004776 6980070 0.000267 CK300859 4730577 0.000174 NM_182476 7050543 0.000185 NM_016553 4760543 9.00E−06 NM_006429 7150017 0.000297 NM_005243 4780743 0.000257 NM_006901 7150634 0.000149 NM_030811 4830435 0.000298 NM_014976 7160296 0.000428 NM_012321 4830563 0.000308 NM_016237 7380288 0.000209 NM_006725 4850192 0.000197 NM_001152 7550537 9.37E−05 NM_021809 4850438 2.80E−05 NM_024681 7650605 0.00042 NM_014281 4900053 4.21E−05 NM_003559 5090477 0.000263 NM_017415 5090739 0.00015 NM_000075 5270500 6.52E−05 NM_022730 5310050 9.54E−05 NM_001033667 5310136 0.00023 NM_003906 5390131 1.50E−05 NM_006321 5390669 6.58E−05 NM_152272 5550746 0.000202 NM_013270 5690037 0.000282 NM_032118 5700403 0.000212 NM_031449 5720424 0.000386 NM_006082 5900156 0.000244 NM_178510 5910091 0.000339 NM_170699 5960035 0.00011 NM_007255 6100220 0.00011 NM_004044 6110768 1.64E−05 NM_005771 6220450 0.000188 NM_005968 6270021 8.58E−05 NM_000074 6270128 7.83E−06 NM_001039508 6280754 0.000368 NM_003632 6350017 0.000306 NM_033416 6380598 5.97E−05 NM_001005332 6480170 0.000148 NM_025150 6480328 0.000394 NM_033554 6480500 0.000264 XR_018793 6550142 0.000155 NM_024619 6590386 2.83E−05 NM_001007224 6590523 0.000189 NM_015540 6860243 5.47E−05 NM_004964 6940242 0.000309 NM_001033515 6960328 0.0003 NM_018384 6960746 4.44E−05 NM_004776 6980070 6.06E−05 NM_138576 7000133 8.72E−05 NM_018380 7000224 0.000283 NM_025263 7000408 0.000239 NM_022163 7040598 0.000212 NM_182476 7050543 0.000107 NM_078483 7100136 0.000145 NM_004623 7100504 0.000271 NM_014165 7150601 7.64E−05 NM_006901 7150634 7.48E−05 NM_014976 7160296 0.000168 NM_016237 7380288 9.42E−05 NM_001152 7550537 3.05E−05 List 22 List 23 AUC 1 0.833 Number of 71 39 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_015062 20647 0.00029 NM_002348 450037 0.000351 NM_182898 160132 0.000337 NM_018715 510450 0.000153 BM981444 240653 0.00033 NM_000155 520332 0.000379 NM_002348 450037 0.000343 NM_000896 650164 4.19E−05 NM_018715 510450 0.000131 CR596519 670041 0.000321 NM_000155 520332 2.35E−05 XR_015582 770452 0.000289 NM_002129 610563 0.000374 AF272739 1050128 8.83E−05 NM_000896 650164 0.00015 NM_015039 1580348 0.000316 CR596519 670041 0.000147 NM_007115 2370524 2.66E−05 AF272739 1050128 0.000152 T03068 2450497 9.16E−05 NM_015292 1110215 0.00015 NM_031412 2630154 0.000461 NM_000878 1170307 0.000104 NM_003528 2630451 0.000164 NM_000887 1240603 0.000197 NM_025153 2630484 5.73E−06 NM_015039 1580348 0.000112 NM_031488 3120301 0.000356 NM_018285 1780348 0.000315 NM_014941 3360364 0.000257 NM_001099786 1820598 0.000486 NM_003137 3460674 0.000329 NM_004226 2100035 0.000361 NM_213566 3520192 0.000494 NM_198196 2100333 0.000214 NM_005476 3610504 0.00042 NM_014738 2190673 0.000171 XM_930898 3830390 9.69E−05 XM_935843 2260446 0.000147 NM_020414 4280332 0.000499 NM_007115 2370524 5.38E−06 NM_003543 4730195 7.59E−05 T03068 2450497 0.000187 NM_016553 4760543 0.000244 NM_003528 2630451 0.000475 NM_014281 4900053 0.000355 NM_025153 2630484 4.79E−05 NM_003559 5090477 0.00048 NM_001014838 2690609 0.000385 NM_002150 5090554 0.000387 NM_001414 2760563 0.000392 NM_013270 5690037 0.000449 NM_031488 3120301 7.69E−05 NM_002808 5720497 0.000366 NM_004555 3130291 0.000433 BU733214 5860196 0.000376 NM_014941 3360364 0.000147 BM974838 5870300 0.000467 NM_015288 3420735 0.000198 NM_006082 5900156 0.000428 NM_003137 3460674 0.000151 XM_931928 6110537 0.000484 NM_213566 3520192 0.000105 NM_000074 6270128 0.000132 XM_930898 3830390 0.000161 NM_033416 6380598 0.000237 XM_940524 3940368 0.00042 NM_018384 6960746 0.000361 X00437 3990639 0.000235 NM_004776 6980070 0.000499 NM_001779 4150161 0.00042 BI915661 6980274 0.000463 AA868051 4150402 0.000207 NM_078483 7100136 0.000439 NM_002756 4150632 0.000469 NM_006901 7150634 0.000284 NM_024600 4210647 0.000148 NM_001152 7550537 0.000158 NM_020414 4280332 0.000117 NM_015651 4540082 0.000304 NM_003543 4730195 0.000236 NM_001017404 4760364 0.00038 NM_016553 4760543 4.28E−05 NM_006725 4850192 0.000318 NM_016552 4850541 0.000256 NM_015239 4860132 0.000443 NM_014281 4900053 9.51E−05 AA431917 5130154 0.00036 NM_032312 5290289 0.000232 NM_001007239 5310754 0.000388 NM_013270 5690037 5.68E−05 NM_032118 5700403 0.000329 NM_006082 5900156 0.000438 NM_178510 5910091 0.000459 NM_003645 6110328 0.000347 NM_004044 6110768 0.000153 NM_000074 6270128 0.000174 NM_002964 6280576 0.000386 NM_033416 6380598 0.000425 AK128384 6420541 0.000366 NM_033554 6480500 0.000209 NM_024619 6590386 0.000208 AA576740 6840408 0.000455 NM_018384 6960746 0.000158 NM_004776 6980070 0.000353 NM_182476 7050543 0.000265 NM_078483 7100136 0.000348 NM_017481 7100392 0.000469 AW263210 7200477 0.000483 NM_001152 7550537 0.000125 List 24 List 25 AUC 0.833 0.8 Number of 111 166 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_006567 130403 0.00043 NM_001031717 10338 0.00014759 NM_016292 160736 0.000413 NM_014669 50164 0.000430144 NM_015959 380315 0.0003 NM_052901 130113 5.90E−05 NM_002348 450037 0.000157 NM_006567 130403 8.09E−07 NM_021872 460754 0.000306 NM_016292 160736 0.000312362 NM_018715 510450 1.30E−05 NM_013378 360066 0.000426908 NM_000155 520332 6.03E−05 NM_015959 380315 0.0001248 NM_002896 620722 0.000193 NM_002348 450037 8.79E−05 NM_000896 650164 0.000404 NM_021872 460754 0.000253124 CR596519 670041 4.42E−05 NM_018715 510450 1.80E−06 NM_004927 1030692 6.28E−05 AK130294 520154 0.000474626 AF272739 1050128 0.000205 NM_000155 520332 8.15E−05 NM_015292 1110215 4.92E−05 NM_024662 630768 0.000363461 NM_000887 1240603 0.000262 NM_000896 650164 0.000170918 XM_377476 1340338 0.000496 CR596519 670041 6.83E−05 NM_000578 1430292 0.000314 NM_015380 990273 0.000176623 NM_016408 1440601 4.37E−05 NM_004927 1030692 0.000146305 NM_015039 1580348 0.000304 AF272739 1050128 0.000481314 NM_018285 1780348 0.00013 NM_207107 1070377 0.000203913 NM_001099786 1820598 3.38E−05 NM_015292 1110215 3.74E−05 XM_936353 2030544 0.00027 BC041984 1110358 0.000201154 NM_001077692 2120681 0.000383 NM_006720 1110575 0.000466948 NM_014738 2190673 0.000294 NM_000887 1240603 0.000236913 NM_007115 2370524 1.79E−05 NM_006066 1300768 0.000457682 BX096685 2450343 0.000243 XM_377476 1340338 0.000233235 T03068 2450497 5.57E−05 NM_001039708 1340731 5.81E−05 NM_006031 2480082 0.000437 NM_000578 1430292 0.00030453 NM_031412 2630154 0.000422 NM_000819 1430730 0.000332107 NM_003528 2630451 0.000458 NM_003343 1440382 0.000126291 NM_025153 2630484 9.60E−05 NM_002080 1440546 0.000371475 NM_019111 2680370 0.000297 NM_016408 1440601 0.000195316 NM_001014838 2690609 9.68E−05 NM_001037325 1470332 0.000410966 NM_003707 2750408 0.000452 NM_006306 1500040 0.000291636 NM_015135 2750521 0.00042 NM_015039 1580348 0.000479443 NM_005449 2760092 0.000386 NM_153201 1690189 0.000387483 NM_001414 2760563 0.000352 NM_002405 1710286 0.000338425 NM_005082 2850576 0.0003 NM_014871 1740576 9.36E−05 NM_031488 3120301 0.000101 NM_018285 1780348 5.10E−05 NM_006767 3140093 9.93E−05 NM_001099786 1820598 6.60E−05 NM_015710 3170092 0.000305 NM_012155 2030450 0.000283925 NM_014941 3360364 7.94E−05 XM_936353 2030544 0.000118328 NM_207311 3420343 0.000462 NM_198196 2100333 0.000249598 NM_001042600 3420630 0.000387 NM_001077692 2120681 0.000202234 NM_139244 3460189 0.000483 NM_207111 2190524 0.0001217 NM_003137 3460674 0.000106 NM_014738 2190673 4.12E−05 NM_003707 3520082 0.000268 NM_005356 2230661 0.000461017 NM_213566 3520192 0.000257 NM_007115 2370524 4.06E−06 NM_005476 3610504 5.91E−06 NM_016478 2370593 0.000228737 XM_930898 3830390 0.000483 BX096685 2450343 0.000103314 X00437 3990639 7.90E−05 T03068 2450497 0.000235319 NM_004811 4060131 0.000337 NM_006031 2480082 0.000250813 NM_022827 4120133 0.00028 NM_001076785 2480402 0.000171592 NM_016091 4180142 0.000453 NM_031412 2630154 0.00042291 NM_015721 4200538 0.000448 NM_020408 2630181 0.000135713 NM_024600 4210647 0.000218 NM_003528 2630451 0.000263022 NM_001042631 4220138 3.86E−05 NM_025153 2630484 3.24E−05 BU608944 4220523 0.00047 NM_052853 2630524 0.000444478 NM_020414 4280332 0.000117 NM_001025603 2640373 0.000341999 NM_015651 4540082 0.000122 NM_019111 2680370 0.000447688 NM_006445 4590082 0.000457 NM_213636 2680682 0.000119947 NM_001024667 4590646 0.000137 NM_001014838 2690609 0.00026644 NM_003543 4730195 0.000136 NM_003059 2710397 0.000429319 CK300859 4730577 0.000288 NM_001854 2750070 0.000215687 NM_016553 4760543 3.10E−05 NM_018233 2750242 0.00041359 NM_005243 4780743 0.000104 NM_003707 2750408 0.000470087 NM_006725 4850192 0.000138 NM_015135 2750521 1.66E−05 NM_014281 4900053 4.57E−05 NM_001414 2760563 0.000335608 NM_007047 4920577 0.000318 NM_005082 2850576 0.000150478 NM_007355 5130082 0.000293 NM_001384 2900524 0.000145624 NM_000075 5270500 0.000307 NM_031488 3120301 5.41E−05 NM_001007239 5310754 0.000134 NM_020750 3130711 0.000215113 NM_003906 5390131 0.000193 NM_006767 3140093 0.000376303 NM_152272 5550746 0.000311 NM_016089 3170468 0.000221173 CR738137 5570632 0.000422 NM_152735 3290019 0.000144544 NM_013270 5690037 0.000207 NM_014941 3360364 2.76E−05 NM_002139 5690673 0.00033 NM_005698 3370687 0.000333845 NM_032118 5700403 0.000303 NM_015002 3400372 0.000174547 NM_001628 5890327 0.000232 NM_207311 3420343 0.00018972 NM_006082 5900156 0.000463 NM_015288 3420735 0.000328412 NM_178510 5910091 3.75E−05 NM_012110 3440431 0.00014229 NM_170699 5960035 0.000309 NM_003137 3460674 0.000114516 NM_014230 6020402 0.000423 NM_003707 3520082 3.93E−05 NM_007255 6100220 0.000328 NM_213566 3520192 3.69E−05 NM_144666 6110142 0.000278 NM_005476 3610504 2.07E−05 XM_931928 6110537 0.000164 NM_002883 3710189 0.000340109 NM_004044 6110768 0.00024 NM_018129 3780220 0.000440152 NM_005968 6270021 5.91E−05 XM_930898 3830390 0.000366322 NM_000074 6270128 2.40E−05 NM_004092 3840022 0.000122704 NM_015044 6270364 0.000463 NM_025152 3840131 0.00044282 NM_001039508 6280754 0.000111 NM_003496 3850286 0.000181352 XM_936128 6290561 0.000182 XM_940524 3940368 0.000376819 NM_033416 6380598 0.000216 NM_012111 3990192 0.000307617 NM_001005332 6480170 0.000377 XM_496059 3990465 0.000230631 NM_025150 6480328 0.000272 X00437 3990639 6.35E−05 NM_033554 6480500 0.00015 NM_015054 4060056 0.000331609 XR_018793 6550142 0.000362 NM_004811 4060131 0.000261106 NM_024619 6590386 4.64E−05 NM_145298 4070132 0.00044159 NM_015540 6860243 0.00038 NM_015721 4200538 8.54E−05 NM_004964 6940242 0.000349 NM_024600 4210647 4.75E−05 NM_018384 6960746 9.79E−05 NM_001042631 4220138 4.77E−05 BI915661 6980274 0.000496 NM_020414 4280332 8.56E−05 NM_078483 7100136 0.000449 NM_015651 4540082 0.000102476 NM_014165 7150601 0.00013 NM_015433 4540301 1.61E−05 NM_006901 7150634 6.17E−05 NM_025228 4640528 0.000323829 NM_014976 7160296 0.000121 NM_003543 4730195 3.83E−05 NM_003757 7320576 0.000262 CK300859 4730577 0.000174021 NM_007167 7380274 0.000374 NM_016553 4760543 9.00E−06 NM_016237 7380288 0.000189 NM_005243 4780743 0.000257451 NM_199176 7380736 0.000151 NM_030811 4830435 0.00029784 NM_004515 7400431 0.000268 NM_012321 4830563 0.000307859 NM_001152 7550537 3.79E−05 NM_006725 4850192 0.000196735 NM_021809 4850438 2.80E−05 NM_017755 4880195 0.000412863 NM_007171 4880681 0.000449304 NM_014281 4900053 4.21E−05 NM_003559 5090477 0.000263019 NM_017415 5090739 0.000149548 NM_007355 5130082 0.00046265 NM_000075 5270500 6.52E−05 NM_022730 5310050 9.54E−05 NM_001033667 5310136 0.000229653 NM_001007239 5310754 0.000403804 NM_003906 5390131 1.50E−05 NM_006321 5390669 6.58E−05 NM_152272 5550746 0.000202311 NM_013270 5690037 0.000282072 NM_032118 5700403 0.000211664 NM_031449 5720424 0.000385745 NM_006082 5900156 0.000243738 NM_178510 5910091 0.000338619 NM_170699 5960035 0.000109508 NM_007255 6100220 0.000110106 NM_004044 6110768 1.64E−05 NM_005771 6220450 0.000188396 NM_152371 6250338 0.000491338 NM_005968 6270021 8.58E−05 NM_000074 6270128 7.83E−06 NM_001039508 6280754 0.000367935 NM_003755 6290431 0.000469507 NM_003632 6350017 0.000305821 NM_033416 6380598 5.97E−05 NM_001005332 6480170 0.000147564 NM_025150 6480328 0.000394396 NM_033554 6480500 0.000263731 XR_018793 6550142 0.000155407 NM_024619 6590386 2.83E−05 NM_001007224 6590523 0.00018882 NM_015540 6860243 5.47E−05 NM_004964 6940242 0.000309192 NM_001033515 6960328 0.000300225 NM_018384 6960746 4.44E−05 NM_004776 6980070 6.06E−05 NM_138576 7000133 8.72E−05 NM_018380 7000224 0.000282503 NM_025263 7000408 0.000238786 NM_022163 7040598 0.000212169 NM_182476 7050543 0.000106626 NM_078483 7100136 0.000145165 NM_004623 7100504 0.000270702 NM_014165 7150601 7.64E−05 NM_006901 7150634 7.48E−05 NM_014976 7160296 0.000167977 NM_003757 7320576 0.000480776 NM_016237 7380288 9.42E−05 NM_001152 7550537 3.05E−05 NM_017745 7560603 0.000496595 List 26 List 27 AUC 1 0.833 Number of 86 48 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_015062 20647 0.000290214 XM_932547 160121 0.000543584 NM_182898 160132 0.000336575 NM_002348 450037 0.000350758 BM981444 240653 0.000329936 NM_018715 510450 0.000153264 NM_005103 360343 0.000565315 NM_000155 520332 0.000379381 NM_002348 450037 0.000342948 NM_000896 650164 4.19E−05 NM_018715 510450 0.000130559 CR596519 670041 0.000321057 NM_000155 520332 2.35E−05 XR_015582 770452 0.00028943 NM_002129 610563 0.000374121 AF272739 1050128 8.83E−05 NM_000896 650164 0.000149638 NM_015039 1580348 0.00031588 CR596519 670041 0.000147409 NM_001099786 1820598 0.00051759 AF272739 1050128 0.000152295 XM_936353 2030544 0.000512868 NM_015292 1110215 0.000149721 NM_007115 2370524 2.66E−05 NM_000878 1170307 0.00010424 T03068 2450497 9.16E−05 NM_000887 1240603 0.000196853 NM_031412 2630154 0.000460849 NM_021105 1260228 0.000594326 NM_003528 2630451 0.000164316 NM_015039 1580348 0.00011162 NM_025153 2630484 5.73E−06 NM_018285 1780348 0.000315017 NM_031488 3120301 0.00035633 NM_001099786 1820598 0.000486241 NM_014941 3360364 0.000256835 NM_004226 2100035 0.000361256 NM_139244 3460189 0.000543541 NM_198196 2100333 0.000214022 NM_003137 3460674 0.000329184 NM_014738 2190673 0.000170793 NM_003707 3520082 0.000548335 XM_935843 2260446 0.000146988 NM_213566 3520192 0.000493729 NM_007115 2370524 5.38E−06 NM_005476 3610504 0.00041975 T03068 2450497 0.000187261 XM_930898 3830390 9.69E−05 NM_003528 2630451 0.000474784 XM_940524 3940368 0.000574144 NM_025153 2630484 4.79E−05 X00437 3990639 0.000502646 NM_001014838 2690609 0.000385489 NM_020414 4280332 0.000499428 NM_001414 2760563 0.000392459 NM_003543 4730195 7.59E−05 NM_031488 3120301 7.69E−05 NM_016553 4760543 0.000243693 NM_017905 3130091 0.00050347 NM_014281 4900053 0.000354862 NM_004555 3130291 0.000432943 NM_003559 5090477 0.000479668 NM_015710 3170092 0.000556457 NM_002150 5090554 0.000386719 NM_014941 3360364 0.00014666 NM_013270 5690037 0.000448829 NM_015288 3420735 0.000197646 NM_002808 5720497 0.000365747 NM_139244 3460189 0.000564028 BU733214 5860196 0.000376113 NM_003137 3460674 0.00015086 NM_021052 5860400 0.000553416 NM_213566 3520192 0.000105064 BM974838 5870300 0.000467433 XM_930898 3830390 0.000160792 NM_006082 5900156 0.000427862 XM_940524 3940368 0.000419906 XM_931928 6110537 0.000483991 X00437 3990639 0.000234692 NM_004044 6110768 0.000593588 NM_022827 4120133 0.000504567 NM_000074 6270128 0.000132118 NM_001779 4150161 0.000419842 NM_033416 6380598 0.000237334 AA868051 4150402 0.000207276 NM_018384 6960746 0.000360717 NM_002756 4150632 0.000469327 NM_004776 6980070 0.000499209 NM_015721 4200538 0.000584201 BI915661 6980274 0.000463447 NM_024600 4210647 0.000147792 NM_078483 7100136 0.000438979 NM_020414 4280332 0.000117208 NM_006901 7150634 0.000283864 NM_015651 4540082 0.000304396 NM_001152 7550537 0.000157677 NM_003543 4730195 0.000235721 NM_001017404 4760364 0.000380432 NM_016553 4760543 4.28E−05 NM_006725 4850192 0.000317824 NM_016552 4850541 0.000255862 NM_015239 4860132 0.00044276 NM_014281 4900053 9.51E−05 NM_003559 5090477 0.000560435 AA431917 5130154 0.000360375 NM_005902 5130767 0.000571789 XM_941161 5270689 0.000583152 NM_032312 5290289 0.000231901 NM_001007239 5310754 0.000388228 NM_006321 5390669 0.000575519 NM_013270 5690037 5.68E−05 NM_032118 5700403 0.000328534 NM_006082 5900156 0.000437807 NM_178510 5910091 0.000458692 NM_003645 6110328 0.000347124 NM_004044 6110768 0.000153478 NM_000074 6270128 0.000174489 NM_002964 6280576 0.00038563 NM_001039508 6280754 0.000586113 XM_936128 6290561 0.000589939 NM_033416 6380598 0.000424599 AK128384 6420541 0.000366212 NM_033554 6480500 0.000208647 NM_024619 6590386 0.000207786 AA576740 6840408 0.000454974 NM_018384 6960746 0.000157737 NM_004776 6980070 0.000352936 NM_138576 7000133 0.000570876 NM_182476 7050543 0.000265389 NM_078483 7100136 0.000347929 NM_017481 7100392 0.000469408 NM_006901 7150634 0.000566389 AW263210 7200477 0.000483002 NM_001152 7550537 0.000125031 List 28 List 29 AUC 0.833 0.8 Number of 130 194 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_001031717 10338 0.000505 NM_001031717 10338 0.000148 NM_015062 20647 0.000585 NM_206967 20224 0.000562 NM_006567 130403 0.00043 NM_014669 50164 0.00043 NM_005804 160240 0.000598 NM_052901 130113 5.90E−05 NM_016292 160736 0.000413 NM_006567 130403 8.09E−07 NM_013378 360066 0.000592 NM_021078 130451 0.000517 NM_015959 380315 0.0003 NM_005804 160240 0.000528 NM_015953 380685 0.000531 NM_016292 160736 0.000312 NM_002348 450037 0.000157 NM_013378 360066 0.000427 NM_021872 460754 0.000306 NM_015959 380315 0.000125 NM_018715 510450 1.30E−05 NM_015953 380685 0.000562 NM_000155 520332 6.03E−05 NM_002348 450037 8.79E−05 NM_002896 620722 0.000193 NM_021872 460754 0.000253 NM_000896 650164 0.000404 NM_018715 510450 1.80E−06 CR596519 670041 4.42E−05 AK130294 520154 0.000475 NM_199337 840730 0.00058 NM_000155 520332 8.15E−05 NM_004927 1030692 6.28E−05 NM_024662 630768 0.000363 AF272739 1050128 0.000205 CF619198 650014 0.000588 NM_015292 1110215 4.92E−05 NM_000896 650164 0.000171 NM_000887 1240603 0.000262 CR596519 670041 6.83E−05 XM_377476 1340338 0.000496 NM_015380 990273 0.000177 NM_001039708 1340731 0.000528 NM_004927 1030692 0.000146 NM_000578 1430292 0.000314 AF272739 1050128 0.000481 NM_016408 1440601 4.37E−05 NM_207107 1070377 0.000204 NM_015039 1580348 0.000304 NM_016395 1110110 0.00054 NM_002405 1710286 0.000585 NM_015292 1110215 3.74E−05 NM_018285 1780348 0.00013 BC041984 1110358 0.000201 NM_001099786 1820598 3.38E−05 NM_006720 1110575 0.000467 XM_936353 2030544 0.00027 NM_033141 1170139 0.000556 NM_198196 2100333 0.000584 NM_000887 1240603 0.000237 NM_001077692 2120681 0.000383 NM_006066 1300768 0.000458 NM_014738 2190673 0.000294 XM_377476 1340338 0.000233 NM_007115 2370524 1.79E−05 NM_001039708 1340731 5.81E−05 BX096685 2450343 0.000243 NM_000578 1430292 0.000305 T03068 2450497 5.57E−05 NM_000819 1430730 0.000332 NM_024798 2470341 0.000541 NM_007199 1430762 0.000558 NM_006031 2480082 0.000437 NM_003343 1440382 0.000126 NM_031412 2630154 0.000422 NM_002080 1440546 0.000371 NM_003528 2630451 0.000458 NM_016408 1440601 0.000195 NM_025153 2630484 9.60E−05 NM_001037325 1470332 0.000411 NM_005937 2630719 0.000517 NM_006306 1500040 0.000292 NM_019111 2680370 0.000297 NM_015039 1580348 0.000479 NM_001014838 2690609 9.68E−05 NM_153201 1690189 0.000387 NM_003707 2750408 0.000452 NM_002405 1710286 0.000338 NM_015135 2750521 0.00042 NM_014871 1740576 9.36E−05 NM_005449 2760092 0.000386 NM_018285 1780348 5.10E−05 NM_001414 2760563 0.000352 NM_001099786 1820598 6.60E−05 NM_005082 2850576 0.0003 NM_012155 2030450 0.000284 NM_031488 3120301 0.000101 XM_936353 2030544 0.000118 NM_006767 3140093 9.93E−05 NM_198196 2100333 0.00025 NM_015710 3170092 0.000305 NM_001077692 2120681 0.000202 NM_014941 3360364 7.94E−05 NM_207111 2190524 0.000122 NM_207311 3420343 0.000462 NM_014738 2190673 4.12E−05 NM_001042600 3420630 0.000387 NM_005356 2230661 0.000461 NM_015288 3420735 0.000524 NM_007115 2370524 4.06E−06 NM_139244 3460189 0.000483 NM_016478 2370593 0.000229 NM_003137 3460674 0.000106 BX096685 2450343 0.000103 NM_003707 3520082 0.000268 T03068 2450497 0.000235 NM_213566 3520192 0.000257 NM_006031 2480082 0.000251 NM_005476 3610504 5.91E−06 NM_001076785 2480402 0.000172 XM_930898 3830390 0.000483 NM_024844 2510132 0.000538 X00437 3990639 7.90E−05 NM_031412 2630154 0.000423 NM_004811 4060131 0.000337 NM_020408 2630181 0.000136 NM_022827 4120133 0.00028 NM_003528 2630451 0.000263 NM_016091 4180142 0.000453 NM_025153 2630484 3.24E−05 XM_068632 4200451 0.000539 NM_052853 2630524 0.000444 NM_015721 4200538 0.000448 NM_017955 2640278 0.000548 NM_024600 4210647 0.000218 NM_001025603 2640373 0.000342 NM_001042631 4220138 3.86E−05 NM_005980 2640609 0.00058 BU608944 4220523 0.00047 NM_019111 2680370 0.000448 NM_020414 4280332 0.000117 NM_213636 2680682 0.00012 NM_015651 4540082 0.000122 NM_001014838 2690609 0.000266 NM_015433 4540301 0.000501 NM_003059 2710397 0.000429 NM_006445 4590082 0.000457 NM_001854 2750070 0.000216 NM_001024667 4590646 0.000137 NM_018233 2750242 0.000414 NM_003543 4730195 0.000136 NM_003707 2750408 0.00047 CK300859 4730577 0.000288 NM_015135 2750521 1.66E−05 NM_016553 4760543 3.10E−05 NM_005449 2760092 0.000595 NM_005243 4780743 0.000104 NM_001414 2760563 0.000336 NM_006725 4850192 0.000138 NM_007357 2810767 0.000567 NM_014281 4900053 4.57E−05 NM_005082 2850576 0.00015 NM_007047 4920577 0.000318 NM_001384 2900524 0.000146 NM_007355 5130082 0.000293 NM_031488 3120301 5.41E−05 NM_000075 5270500 0.000307 NM_020750 3130711 0.000215 NM_022730 5310050 0.000512 NM_015511 3140022 0.000549 NM_001007239 5310754 0.000134 NM_006767 3140093 0.000376 NM_003906 5390131 0.000193 NM_015710 3170092 0.000504 NM_152272 5550746 0.000311 NM_016089 3170468 0.000221 CR738137 5570632 0.000422 NM_152735 3290019 0.000145 NM_013270 5690037 0.000207 NM_014941 3360364 2.76E−05 NM_002139 5690673 0.00033 NM_005698 3370687 0.000334 NM_032118 5700403 0.000303 NM_015002 3400372 0.000175 NM_001628 5890327 0.000232 AK091091 3420086 0.000508 NM_006082 5900156 0.000463 NM_207311 3420343 0.00019 NM_178510 5910091 3.75E−05 NM_015288 3420735 0.000328 NM_170699 5960035 0.000309 NM_012110 3440431 0.000142 NM_014230 6020402 0.000423 NM_020933 3440433 0.000555 NM_007255 6100220 0.000328 NM_003137 3460674 0.000115 NM_144666 6110142 0.000278 NM_003707 3520082 3.93E−05 XM_931928 6110537 0.000164 NM_213566 3520192 3.69E−05 NM_004044 6110768 0.00024 NM_005476 3610504 2.07E−05 NM_005968 6270021 5.91E−05 NM_002883 3710189 0.00034 NM_000074 6270128 2.40E−05 NM_018129 3780220 0.00044 NM_015044 6270364 0.000463 NM_023080 3830278 0.000548 NM_001039508 6280754 0.000111 XM_930898 3830390 0.000366 NM_003755 6290431 0.000599 NM_004092 3840022 0.000123 XM_936128 6290561 0.000182 NM_025152 3840131 0.000443 NM_033416 6380598 0.000216 NM_003496 3850286 0.000181 NM_001005332 6480170 0.000377 CF887308 3940020 0.000515 NM_025150 6480328 0.000272 XM_940524 3940368 0.000377 NM_033554 6480500 0.00015 NM_012111 3990192 0.000308 XR_018793 6550142 0.000362 XM_496059 3990465 0.000231 NM_024619 6590386 4.64E−05 X00437 3990639 6.35E−05 NM_015540 6860243 0.00038 BM668555 4050270 0.000525 NM_004964 6940242 0.000349 NM_015054 4060056 0.000332 NM_018384 6960746 9.79E−05 NM_004811 4060131 0.000261 NM_004776 6980070 0.000502 NM_145298 4070132 0.000442 BI915661 6980274 0.000496 NM_015721 4200538 8.54E−05 NM_138576 7000133 0.000541 NM_024600 4210647 4.75E−05 NM_078483 7100136 0.000449 NM_001042631 4220138 4.77E−05 NM_006429 7150017 0.000585 NM_020414 4280332 8.56E−05 NM_014165 7150601 0.00013 NM_015651 4540082 0.000102 NM_006901 7150634 6.17E−05 NM_015433 4540301 1.61E−05 NM_014976 7160296 0.000121 NM_025228 4640528 0.000324 NM_003757 7320576 0.000262 NM_003543 4730195 3.83E−05 NM_007167 7380274 0.000374 CK300859 4730577 0.000174 NM_016237 7380288 0.000189 NM_016553 4760543 9.00E−06 NM_199176 7380736 0.000151 NM_005243 4780743 0.000257 NM_004515 7400431 0.000268 NM_030811 4830435 0.000298 NM_001152 7550537 3.79E−05 NM_012321 4830563 0.000308 NM_006725 4850192 0.000197 NM_021809 4850438 2.80E−05 NM_017755 4880195 0.000413 NM_007171 4880681 0.000449 NM_014281 4900053 4.21E−05 NM_003559 5090477 0.000263 NM_017415 5090739 0.00015 NM_007355 5130082 0.000463 NM_000075 5270500 6.52E−05 NM_022730 5310050 9.54E−05 NM_001033667 5310136 0.00023 NM_001007239 5310754 0.000404 NM_003906 5390131 1.50E−05 NM_006321 5390669 6.58E−05 NM_152272 5550746 0.000202 CR738137 5570632 0.000598 NM_013270 5690037 0.000282 NM_032118 5700403 0.000212 NM_031449 5720424 0.000386 NM_006082 5900156 0.000244 NM_178510 5910091 0.000339 XM_001131964 5910343 0.000553 NM_170699 5960035 0.00011 NM_007255 6100220 0.00011 NM_004044 6110768 1.64E−05 NM_005771 6220450 0.000188 NM_152371 6250338 0.000491 NM_005968 6270021 8.58E−05 NM_000074 6270128 7.83E−06 NM_001039508 6280754 0.000368 NM_003755 6290431 0.00047 NM_003632 6350017 0.000306 NM_001032363 6380358 0.000561 NM_033416 6380598 5.97E−05 NM_001040107 6400563 0.00054 NM_001005332 6480170 0.000148 NM_025150 6480328 0.000394 NM_033554 6480500 0.000264 XR_018793 6550142 0.000155 NM_024619 6590386 2.83E−05 NM_001007224 6590523 0.000189 NM_176880 6650541 0.000501 NM_015540 6860243 5.47E−05 NM_004964 6940242 0.000309 NM_001033515 6960328 0.0003 NM_018384 6960746 4.44E−05 NM_004776 6980070 6.06E−05 BI915661 6980274 0.000506 NM_138576 7000133 8.72E−05 NM_018380 7000224 0.000283 NM_025263 7000408 0.000239 NM_022163 7040598 0.000212 NM_182476 7050543 0.000107 NM_078483 7100136 0.000145 NM_004623 7100504 0.000271 NM_006429 7150017 0.000509 NM_014165 7150601 7.64E−05 NM_006901 7150634 7.48E−05 NM_014976 7160296 0.000168 NM_003757 7320576 0.000481 NM_005922 7320594 0.000524 NM_016237 7380288 9.42E−05 NM_001152 7550537 3.05E−05 NM_017745 7560603 0.000497 List 30 List 31 AUC 1 0.833 Number of 99 55 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_015062 20647 0.00029 XM_932547 160121 0.000544 NM_182898 160132 0.000337 NM_002348 450037 0.000351 BM981444 240653 0.00033 NM_018715 510450 0.000153 NM_005103 360343 0.000565 NM_000155 520332 0.000379 NM_002348 450037 0.000343 NM_000896 650164 4.19E−05 NM_021872 460754 0.0007 CR596519 670041 0.000321 NM_018715 510450 0.000131 XR_015582 770452 0.000289 NM_000155 520332 2.35E−05 AF272739 1050128 8.83E−05 NM_002129 610563 0.000374 NM_000887 1240603 0.000605 NM_000896 650164 0.00015 NM_000578 1430292 0.00066 CR596519 670041 0.000147 NM_015039 1580348 0.000316 AF272739 1050128 0.000152 NM_001099786 1820598 0.000518 NM_015292 1110215 0.00015 XM_936353 2030544 0.000513 NM_000878 1170307 0.000104 CK299581 2120356 0.000628 NM_000887 1240603 0.000197 XM_935843 2260446 0.000632 NM_021105 1260228 0.000594 NM_007115 2370524 2.66E−05 NM_015039 1580348 0.000112 T03068 2450497 9.16E−05 NM_002405 1710286 0.000679 NM_031412 2630154 0.000461 NM_018285 1780348 0.000315 NM_003528 2630451 0.000164 NM_001099786 1820598 0.000486 NM_025153 2630484 5.73E−06 NM_004226 2100035 0.000361 NM_031488 3120301 0.000356 NM_198196 2100333 0.000214 NM_014941 3360364 0.000257 NM_014738 2190673 0.000171 NM_139244 3460189 0.000544 XM_935843 2260446 0.000147 NM_003137 3460674 0.000329 NM_007115 2370524 5.38E−06 NM_003707 3520082 0.000548 T03068 2450497 0.000187 NM_213566 3520192 0.000494 NM_003528 2630451 0.000475 NM_005476 3610504 0.00042 NM_025153 2630484 4.79E−05 NM_000648 3800270 0.000658 NM_001014838 2690609 0.000385 XM_930898 3830390 9.69E−05 NM_003059 2710397 0.000618 XM_940524 3940368 0.000574 NM_001414 2760563 0.000392 X00437 3990639 0.000503 NM_031488 3120301 7.69E−05 NM_020414 4280332 0.000499 NM_017905 3130091 0.000503 NM_003543 4730195 7.59E−05 NM_004555 3130291 0.000433 NM_016553 4760543 0.000244 NM_015710 3170092 0.000556 NM_016552 4850541 0.00067 NM_014941 3360364 0.000147 NM_014281 4900053 0.000355 NM_005698 3370687 0.000692 NM_003559 5090477 0.00048 NM_015288 3420735 0.000198 NM_002150 5090554 0.000387 NM_139244 3460189 0.000564 CD243631 5270450 0.000608 NM_024430 3460523 0.000681 NM_013270 5690037 0.000449 NM_003137 3460674 0.000151 NM_002808 5720497 0.000366 NM_213566 3520192 0.000105 BU733214 5860196 0.000376 XM_930898 3830390 0.000161 NM_021052 5860400 0.000553 NM_004092 3840022 0.000609 BM974838 5870300 0.000467 XM_940524 3940368 0.00042 NM_006082 5900156 0.000428 XM_496059 3990465 0.000615 XM_931928 6110537 0.000484 X00437 3990639 0.000235 NM_004044 6110768 0.000594 NM_022827 4120133 0.000505 NM_000074 6270128 0.000132 NM_001779 4150161 0.00042 NM_033416 6380598 0.000237 AA868051 4150402 0.000207 NM_018384 6960746 0.000361 NM_002756 4150632 0.000469 NM_004776 6980070 0.000499 NM_015721 4200538 0.000584 BI915661 6980274 0.000463 NM_024600 4210647 0.000148 NM_078483 7100136 0.000439 NM_020414 4280332 0.000117 NM_006901 7150634 0.000284 NM_015651 4540082 0.000304 NM_001152 7550537 0.000158 AK055286 4640369 0.0007 NM_003543 4730195 0.000236 NM_001017404 4760364 0.00038 NM_016553 4760543 4.28E−05 NM_006725 4850192 0.000318 NM_016552 4850541 0.000256 NM_015239 4860132 0.000443 NM_014281 4900053 9.51E−05 NM_003559 5090477 0.00056 AA431917 5130154 0.00036 NM_005902 5130767 0.000572 XM_941161 5270689 0.000583 NM_032312 5290289 0.000232 NM_001007239 5310754 0.000388 NM_006321 5390669 0.000576 NM_013270 5690037 5.68E−05 NM_032118 5700403 0.000329 NM_006082 5900156 0.000438 NM_178510 5910091 0.000459 NM_003645 6110328 0.000347 NM_004044 6110768 0.000153 NM_005968 6270021 0.000656 NM_000074 6270128 0.000174 NM_002964 6280576 0.000386 NM_001039508 6280754 0.000586 XM_936128 6290561 0.00059 NM_033416 6380598 0.000425 NM_001040107 6400563 0.000633 AK128384 6420541 0.000366 NM_033554 6480500 0.000209 NM_024619 6590386 0.000208 AA576740 6840408 0.000455 NM_018384 6960746 0.000158 NM_004776 6980070 0.000353 NM_138576 7000133 0.000571 NM_025263 7000408 0.000678 NM_182476 7050543 0.000265 NM_078483 7100136 0.000348 NM_017481 7100392 0.000469 NM_006901 7150634 0.000566 NM_014976 7160296 0.000616 AW263210 7200477 0.000483 NM_016237 7380288 0.000652 NM_001152 7550537 0.000125 9.00E−05 List 32 List 33 AUC 0.833 0.80 Number of 145 83 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_001031717 10338 0.000505486 NM_182898 160132 0.000251 NM_015062 20647 0.000584743 NM_002348 450037 0.000325 NM_006567 130403 0.000429526 NM_194260 460273 0.0003 NM_005804 160240 0.0005983 NM_018715 510450 9.61E−05 NM_016292 160736 0.000413213 NM_000155 520332 0.000228 BM981444 240653 0.000605125 NM_002129 610563 0.000746 NM_013378 360066 0.000592211 NM_000896 650164 0.000219 NM_015959 380315 0.000300236 CR596519 670041 0.000556 NM_015953 380685 0.000530757 AF272739 1050128 0.000586 NM_002348 450037 0.000156623 NM_015292 1110215 0.000501 NM_021872 460754 0.000306394 NM_000887 1240603 0.000255 NM_018715 510450 1.30E−05 NM_016286 1410369 0.00052 NM_000155 520332 6.03E−05 NM_000578 1430292 0.000584 NM_002896 620722 0.000193392 NM_015039 1580348 0.000158 NM_000896 650164 0.000404198 BX101820 1690504 0.000107 CR596519 670041 4.42E−05 NM_002405 1710286 0.000137 NM_199337 840730 0.000580276 NM_018285 1780348 0.000257 NM_004927 1030692 6.28E−05 NM_001099786 1820598 0.000418 AF272739 1050128 0.000205321 NM_012395 2000390 0.000425 NM_015292 1110215 4.92E−05 NM_017758 2100221 0.000121 NM_006720 1110575 0.000622656 CK299581 2120356 0.000303 NM_000887 1240603 0.000261591 NM_014738 2190673 0.000185 XM_377476 1340338 0.000495677 XM_935843 2260446 0.000153 NM_001039708 1340731 0.000528354 NM_007115 2370524 3.72E−06 NM_004716 1400270 0.000620856 BQ372445 2370681 0.000584 NM_000578 1430292 0.000314186 T03068 2450497 0.000721 NM_002080 1440546 0.000602009 NM_025153 2630484 0.000145 NM_016408 1440601 4.37E−05 NM_001014838 2690609 0.000645 NM_015039 1580348 0.000303914 NM_001854 2750070 0.000658 NM_002405 1710286 0.000585056 NM_031488 3120301 0.000158 NM_014871 1740576 0.000605505 NM_205548 3140088 0.000507 NM_018285 1780348 0.000129917 CB046255 3310075 0.000367 NM_001099786 1820598 3.38E−05 BI260057 3310341 0.000518 XM_936353 2030544 0.000270398 NM_014941 3360364 4.61E−05 NM_198196 2100333 0.00058383 NM_005698 3370687 0.000458 NM_001077692 2120681 0.000383187 NM_003137 3460674 0.00014 NM_014738 2190673 0.000294422 NM_005476 3610504 0.000258 NM_007115 2370524 1.79E−05 NM_004092 3840022 0.000495 BX096685 2450343 0.000242985 X00437 3990639 0.000336 T03068 2450497 5.57E−05 AA868051 4150402 0.000262 NM_024798 2470341 0.000540773 AI863525 4230520 0.000274 NM_006031 2480082 0.0004368 NM_020414 4280332 0.000423 NM_031412 2630154 0.000422125 NM_015651 4540082 0.000308 NM_003528 2630451 0.000458484 NM_015433 4540301 0.000651 NM_025153 2630484 9.60E−05 NM_003543 4730195 0.000341 NM_005937 2630719 0.000516582 CK300859 4730577 0.000106 NM_019111 2680370 0.000296926 NM_016553 4760543 2.55E−05 NM_001014838 2690609 9.68E−05 NM_016552 4850541 0.000257 NM_003707 2750408 0.000451536 BX096603 4880373 0.000369 NM_015135 2750521 0.000420473 NM_014281 4900053 1.89E−05 NM_005449 2760092 0.00038612 NM_015702 5090204 0.000414 NM_001414 2760563 0.000352149 NM_003559 5090477 0.00074 NM_005082 2850576 0.000299803 NM_032312 5290289 0.000641 NM_001384 2900524 0.000694072 NM_003906 5390131 0.000496 NM_031488 3120301 0.000100839 NM_013270 5690037 0.000251 NM_006767 3140093 9.93E−05 NM_032118 5700403 0.000798 NM_015710 3170092 0.000305455 BU733214 5860196 0.000367 NM_014941 3360364 7.94E−05 NM_006082 5900156 0.000222 NM_020808 3370605 0.000651398 NM_170699 5960035 0.000233 NM_207311 3420343 0.000462046 NM_007255 6100220 0.00078 NM_001042600 3420630 0.000386751 NM_004044 6110768 0.000385 NM_015288 3420735 0.000524285 NM_000074 6270128 8.15E−05 NM_139244 3460189 0.000482683 AL157484 6280682 0.000692 NM_003137 3460674 0.000105671 NM_033416 6380598 0.000496 NM_003707 3520082 0.000268436 NM_001040107 6400563 0.000184 NM_213566 3520192 0.000256844 NM_024619 6590386 0.000143 NM_005476 3610504 5.91E−06 BX110808 6770491 0.000657 XM_930898 3830390 0.000482507 NM_004964 6940242 0.000592 X00437 3990639 7.90E−05 NM_018384 6960746 0.000337 NM_015054 4060056 0.00066021 NM_004776 6980070 0.000193 NM_004811 4060131 0.000336594 NM_178839 6980609 0.000248 NM_022827 4120133 0.000279972 NM_078483 7100136 0.000162 NM_016091 4180142 0.000452506 NM_006429 7150017 0.000353 XM_068632 4200451 0.000538946 NM_006901 7150634 0.000569 NM_015721 4200538 0.000448259 NM_001008269 7320100 0.000502 NM_024600 4210647 0.000218332 NM_002566 7330487 0.000769 NM_001042631 4220138 3.86E−05 NM_016237 7380288 0.000729 BU608944 4220523 0.000470093 NM_001152 7550537 0.000167 NM_020414 4280332 0.000116602 NM_015651 4540082 0.000122445 NM_015433 4540301 0.000501202 NM_006445 4590082 0.0004573 NM_001024667 4590646 0.000136649 NM_025228 4640528 0.000617046 NM_003543 4730195 0.000135573 CK300859 4730577 0.000287829 NM_016553 4760543 3.10E−05 NM_005243 4780743 0.000104109 NM_006725 4850192 0.000137581 NM_014281 4900053 4.57E−05 NM_007047 4920577 0.000317837 NM_007355 5130082 0.000293167 NM_000075 5270500 0.000307483 NM_022730 5310050 0.000511636 NM_001007239 5310754 0.000134498 NM_003906 5390131 0.000192748 NM_152272 5550746 0.0003108 CR738137 5570632 0.00042202 NM_013270 5690037 0.000207129 NM_002139 5690673 0.000329755 NM_032118 5700403 0.00030255 NM_173791 5720398 0.000646611 NM_001628 5890327 0.000232439 NM_006082 5900156 0.000462816 NM_178510 5910091 3.75E−05 NM_170699 5960035 0.000308613 NM_014230 6020402 0.000422804 NM_007255 6100220 0.000327645 NM_144666 6110142 0.000277742 XM_931928 6110537 0.00016377 NM_004044 6110768 0.000239957 NM_017879 6250047 0.000689194 NM_005968 6270021 5.91E−05 NM_000074 6270128 2.40E−05 NM_015044 6270364 0.000462891 NM_001039508 6280754 0.000111495 NM_003755 6290431 0.000599445 XM_936128 6290561 0.000181547 NM_033301 6380148 0.000610938 NM_033416 6380598 0.000216129 NM_001005332 6480170 0.000377427 NM_025150 6480328 0.000271729 NM_033554 6480500 0.000149999 XR_018793 6550142 0.000362187 NM_024619 6590386 4.64E−05 NM_001007224 6590523 0.00067376 CA424950 6650576 0.000636036 NM_015540 6860243 0.000380264 NM_004964 6940242 0.000348957 NM_018384 6960746 9.79E−05 NM_004776 6980070 0.000501614 BI915661 6980274 0.000496142 NM_138576 7000133 0.00054059 NM_078483 7100136 0.000448782 NM_006429 7150017 0.000585091 NM_014165 7150601 0.00013018 NM_006901 7150634 6.17E−05 NM_014976 7160296 0.000120818 NM_003757 7320576 0.00026195 NM_007167 7380274 0.000373897 NM_016237 7380288 0.000188682 NM_199176 7380736 0.000151001 NM_004515 7400431 0.000268027 NM_001037161 7510224 0.000691687 NM_001152 7550537 3.79E−05 List 34 List 35 AUC 0.83 0.87 Number of 160 88 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_001031717 10338 NM_182898 160132 0.000251 NM_015062 20647 NM_002348 450037 0.000325 NM_006567 130403 NM_194260 460273 0.0003 NM_182898 160132 NM_018715 510450 9.61E−05 NM_005804 160240 NM_000155 520332 0.000228 NM_016292 160736 NM_002129 610563 0.000746 BM981444 240653 NM_000896 650164 0.000219 NM_013378 360066 CR596519 670041 0.000556 NM_015959 380315 AF272739 1050128 0.000586 NM_015953 380685 NM_015292 1110215 0.000501 NM_002348 450037 NM_000887 1240603 0.000255 NM_021872 460754 NM_021105 1260228 0.000814 NM_018715 510450 NM_016286 1410369 0.00052 NM_000155 520332 NM_000578 1430292 0.000584 NM_002896 620722 NM_001037325 1470332 0.000876 NM_000896 650164 NM_015039 1580348 0.000158 CR596519 670041 BX101820 1690504 0.000107 NM_199337 840730 NM_002405 1710286 0.000137 NM_004927 1030692 NM_018285 1780348 0.000257 AF272739 1050128 NM_001099786 1820598 0.000418 NM_015292 1110215 NM_012395 2000390 0.000425 NM_006720 1110575 NM_004226 2100035 0.000859 NM_000887 1240603 NM_017758 2100221 0.000121 NM_021105 1260228 CK299581 2120356 0.000303 NM_006066 1300768 NM_014738 2190673 0.000185 XM_377476 1340338 XM_935843 2260446 0.000153 NM_001039708 1340731 NM_007115 2370524 3.72E−06 NM_004716 1400270 BQ372445 2370681 0.000584 NM_000578 1430292 T03068 2450497 0.000721 NM_002080 1440546 NM_025153 2630484 0.000145 NM_016408 1440601 NM_001014838 2690609 0.000645 NM_015039 1580348 NM_001854 2750070 0.000658 NM_006424 1710189 NM_003707 2750408 0.00087 NM_002405 1710286 NM_031488 3120301 0.000158 NM_014871 1740576 NM_205548 3140088 0.000507 NM_018285 1780348 CB046255 3310075 0.000367 NM_001099786 1820598 BI260057 3310341 0.000518 XM_936353 2030544 NM_014941 3360364 4.61E−05 NM_198196 2100333 NM_005698 3370687 0.000458 NM_001077692 2120681 NM_003137 3460674 0.00014 NM_014738 2190673 NM_213566 3520192 0.000899 NM_007115 2370524 NM_005476 3610504 0.000258 BX096685 2450343 NM_004092 3840022 0.000495 T03068 2450497 X00437 3990639 0.000336 NM_024798 2470341 AA868051 4150402 0.000262 NM_006031 2480082 NM_001042631 4220138 0.000866 NM_031412 2630154 AI863525 4230520 0.000274 NM_003528 2630451 NM_183384 4280047 0.000834 NM_025153 2630484 NM_020414 4280332 0.000423 NM_005937 2630719 NM_015651 4540082 0.000308 NM_019111 2680370 NM_015433 4540301 0.000651 NM_001014838 2690609 NM_003543 4730195 0.000341 NM_003707 2750408 CK300859 4730577 0.000106 NM_015135 2750521 NM_016553 4760543 2.55E−05 NM_005449 2760092 NM_016552 4850541 0.000257 NM_001414 2760563 BX096603 4880373 0.000369 NM_005082 2850576 NM_014281 4900053 1.89E−05 NM_001384 2900524 NM_015702 5090204 0.000414 NM_006328 2970332 NM_003559 5090477 0.00074 NM_031488 3120301 NM_032312 5290289 0.000641 XM_001127981 3130392 NM_003906 5390131 0.000496 NM_006767 3140093 NM_013270 5690037 0.000251 NM_015710 3170092 NM_032118 5700403 0.000798 NM_014941 3360364 BU733214 5860196 0.000367 NM_020808 3370605 NM_006082 5900156 0.000222 NM_005698 3370687 NM_178510 5910091 0.000822 NM_207311 3420343 NM_170699 5960035 0.000233 NM_001042600 3420630 NM_007255 6100220 0.00078 NM_015288 3420735 NM_004044 6110768 0.000385 NM_139244 3460189 NM_000074 6270128 8.15E−05 NM_003137 3460674 AL157484 6280682 0.000692 NM_003707 3520082 NM_001039508 6280754 0.000859 NM_213566 3520192 NM_033416 6380598 0.000496 NM_005476 3610504 NM_001040107 6400563 0.000184 XM_930898 3830390 NM_024619 6590386 0.000143 NM_004092 3840022 NM_030911 6660671 0.00082 X00437 3990639 BX110808 6770491 0.000657 NM_015054 4060056 NM_004964 6940242 0.000592 NM_004811 4060131 NM_018384 6960746 0.000337 NM_022827 4120133 NM_004776 6980070 0.000193 AA868051 4150402 NM_178839 6980609 0.000248 NM_016091 4180142 NM_078483 7100136 0.000162 XM_068632 4200451 NM_006429 7150017 0.000353 NM_015721 4200538 NM_006901 7150634 0.000569 NM_024600 4210647 NM_001008269 7320100 0.000502 NM_001042631 4220138 NM_002566 7330487 0.000769 BU608944 4220523 NM_016237 7380288 0.000729 NM_020414 4280332 NM_001152 7550537 0.000167 NM_015651 4540082 NM_015433 4540301 NM_006445 4590082 NM_001024667 4590646 NM_025228 4640528 NM_003543 4730195 CK300859 4730577 NM_016553 4760543 NM_005243 4780743 NM_006725 4850192 NM_024092 4880364 NM_014281 4900053 NM_007047 4920577 NM_003559 5090477 NM_007355 5130082 BU587445 5130747 NM_000075 5270500 NM_022730 5310050 NM_001007239 5310754 NM_003906 5390131 NM_152272 5550746 AK125708 5560093 CR738137 5570632 NM_013270 5690037 NM_002139 5690673 NM_032118 5700403 NM_173791 5720398 NM_001628 5890327 NM_006082 5900156 NM_178510 5910091 NM_170699 5960035 NM_014230 6020402 NM_032853 6040259 NM_007255 6100220 NM_144666 6110142 XM_931928 6110537 NM_004044 6110768 NM_017879 6250047 NM_005968 6270021 NM_000074 6270128 NM_015044 6270364 NM_001039508 6280754 NM_003755 6290431 XM_936128 6290561 NM_033301 6380148 NM_033416 6380598 NM_001005332 6480170 NM_025150 6480328 NM_033554 6480500 XR_018793 6550142 NM_024619 6590386 NM_001007224 6590523 CA424950 6650576 NM_015540 6860243 NM_004964 6940242 NM_018384 6960746 NM_004776 6980070 BI915661 6980274 NM_138576 7000133 NM_182476 7050543 NM_078483 7100136 NM_006429 7150017 NM_014165 7150601 NM_006901 7150634 NM_014976 7160296 NM_003757 7320576 NM_007167 7380274 NM_016237 7380288 NM_199176 7380736 NM_004515 7400431 NM_001037161 7510224 NM_001152 7550537 List 36 List 37 AUC 0.83 0.83 Number of 133 66 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_015062 20647 0.00029 XM_932547 160121 0.000544 NM_182898 160132 0.000337 NM_002348 450037 0.000351 XM_933240 160202 0.000856 NM_018715 510450 0.000153 NM_016292 160736 0.000824 NM_000155 520332 0.000379 BM981444 240653 0.00033 NM_000896 650164 4.19E−05 NM_005103 360343 0.000565 CR596519 670041 0.000321 NM_002348 450037 0.000343 XR_015582 770452 0.000289 NM_194260 460273 0.000767 AF272739 1050128 8.83E−05 NM_021872 460754 0.0007 NM_015292 1110215 0.000717 NM_018715 510450 0.000131 NM_000887 1240603 0.000605 NM_000155 520332 2.35E−05 NM_000578 1430292 0.00066 NM_002129 610563 0.000374 NM_001037325 1470332 0.000893 NM_000896 650164 0.00015 NM_015039 1580348 0.000316 CR596519 670041 0.000147 NM_001099786 1820598 0.000518 AF272739 1050128 0.000152 XM_936353 2030544 0.000513 NM_015292 1110215 0.00015 AA910733 2070452 0.000848 NM_006720 1110575 0.000762 CK299581 2120356 0.000628 NM_000878 1170307 0.000104 XM_935843 2260446 0.000632 NM_000887 1240603 0.000197 NM_007115 2370524 2.66E−05 NM_021105 1260228 0.000594 T03068 2450497 9.16E−05 NM_000578 1430292 0.000702 NM_031412 2630154 0.000461 NM_015039 1580348 0.000112 NM_003528 2630451 0.000164 NM_002405 1710286 0.000679 NM_025153 2630484 5.73E−06 NM_018285 1780348 0.000315 NM_031488 3120301 0.000356 NM_001099786 1820598 0.000486 NM_014941 3360364 0.000257 NM_024108 1980424 0.00077 NM_139244 3460189 0.000544 BM272556 2000474 0.000743 NM_003137 3460674 0.000329 NM_004226 2100035 0.000361 NM_003707 3520082 0.000548 NM_198196 2100333 0.000214 NM_213566 3520192 0.000494 NM_014738 2190673 0.000171 NM_005476 3610504 0.00042 XM_935843 2260446 0.000147 NM_000648 3800270 0.000658 NM_007115 2370524 5.38E−06 XM_930898 3830390 9.69E−05 T03068 2450497 0.000187 BU729036 3850367 0.000728 NM_003528 2630451 0.000475 XM_940524 3940368 0.000574 NM_025153 2630484 4.79E−05 X00437 3990639 0.000503 NM_001004486 2650435 0.000736 NM_139247 4230653 0.000805 NM_019111 2680370 0.00088 NM_020414 4280332 0.000499 NM_001014838 2690609 0.000385 AI433683 4560463 0.000717 NM_003059 2710397 0.000618 NM_003543 4730195 7.59E−05 NM_005449 2760092 0.000716 NM_016553 4760543 0.000244 NM_001414 2760563 0.000392 NM_016552 4850541 0.00067 NM_031488 3120301 7.69E−05 NM_014281 4900053 0.000355 NM_017905 3130091 0.000503 NM_003559 5090477 0.00048 NM_004555 3130291 0.000433 NM_002150 5090554 0.000387 NM_006767 3140093 0.000793 AA765688 5090647 0.00087 NM_015710 3170092 0.000556 CD243631 5270450 0.000608 NM_014941 3360364 0.000147 NM_006321 5390669 0.000818 NM_005698 3370687 0.000692 NM_013270 5690037 0.000449 NM_015288 3420735 0.000198 NM_002808 5720497 0.000366 NM_139244 3460189 0.000564 BU733214 5860196 0.000376 NM_024430 3460523 0.000681 NM_021052 5860400 0.000553 NM_003137 3460674 0.000151 BM974838 5870300 0.000467 NM_003707 3520082 0.000716 NM_006082 5900156 0.000428 NM_213566 3520192 0.000105 XM_931928 6110537 0.000484 XM_930898 3830390 0.000161 NM_004044 6110768 0.000594 NM_004092 3840022 0.000609 NM_000074 6270128 0.000132 XM_940524 3940368 0.00042 NM_033416 6380598 0.000237 XM_496059 3990465 0.000615 NM_033554 6480500 0.000848 X00437 3990639 0.000235 NM_024619 6590386 0.000849 NM_004811 4060131 0.000831 NM_018384 6960746 0.000361 NM_022827 4120133 0.000505 NM_004776 6980070 0.000499 NM_001779 4150161 0.00042 BI915661 6980274 0.000463 AA868051 4150402 0.000207 XM_943393 7050196 0.000729 NM_002756 4150632 0.000469 NM_078483 7100136 0.000439 XM_068632 4200451 0.000873 NM_006901 7150634 0.000284 NM_015721 4200538 0.000584 NM_001152 7550537 0.000158 NM_024600 4210647 0.000148 NM_183384 4280047 0.000803 NM_020414 4280332 0.000117 NM_015651 4540082 0.000304 BC016972 4540088 0.000796 NM_015433 4540301 0.000711 AI433683 4560463 0.000705 NM_138931 4640044 0.000713 AK055286 4640369 0.0007 NM_025228 4640528 0.000891 NM_003543 4730195 0.000236 NM_001017404 4760364 0.00038 NM_016553 4760543 4.28E−05 NM_006725 4850192 0.000318 NM_021809 4850438 0.000722 NM_016552 4850541 0.000256 NM_015239 4860132 0.000443 NM_014281 4900053 9.51E−05 NM_018079 5080056 0.0007 NM_003559 5090477 0.00056 AA431917 5130154 0.00036 NM_005902 5130767 0.000572 XM_941161 5270689 0.000583 NM_032312 5290289 0.000232 DB081324 5290291 0.000823 NM_001007239 5310754 0.000388 NM_003906 5390131 0.000811 NM_006321 5390669 0.000576 NM_152272 5550746 0.000894 NM_013270 5690037 5.68E−05 NM_032118 5700403 0.000329 BU733214 5860196 0.000752 NM_021052 5860400 0.000785 NM_006082 5900156 0.000438 NM_178510 5910091 0.000459 NM_003415 6020132 0.000835 NM_014230 6020402 0.000743 NM_003645 6110328 0.000347 NM_004044 6110768 0.000153 NM_005968 6270021 0.000656 NM_000074 6270128 0.000174 NM_002964 6280576 0.000386 NM_001039508 6280754 0.000586 XM_936128 6290561 0.00059 NM_033416 6380598 0.000425 NM_001040107 6400563 0.000633 AK128384 6420541 0.000366 NM_001005332 6480170 0.000873 NM_033554 6480500 0.000209 NM_024619 6590386 0.000208 NM_001007224 6590523 0.000785 AA576740 6840408 0.000455 NM_018384 6960746 0.000158 NM_004776 6980070 0.000353 NM_138576 7000133 0.000571 NM_025263 7000408 0.000678 NM_017773 7000768 0.000871 NM_182476 7050543 0.000265 NM_078483 7100136 0.000348 NM_017481 7100392 0.000469 NM_006901 7150634 0.000566 NM_014976 7160296 0.000616 AW263210 7200477 0.000483 NM_002566 7330487 0.000789 NM_016237 7380288 0.000652 NM_001152 7550537 0.000125 NM_001313 7650458 0.000741 List 38 List 39 AUC 0.83 0.93 Number of 174 99 Transcripts Probe Probe Acc.-No. ID p-Value Acc.-No. ID p-Value NM_001031717 10338 0.000505 NM_182898 160132 0.000251 NM_015062 20647 0.000585 NM_002348 450037 0.000325 NM_006567 130403 0.00043 NM_194260 460273 0.0003 NM_182898 160132 0.000737 NM_018715 510450 9.61E−05 NM_005804 160240 0.000598 NM_000155 520332 0.000228 NM_016292 160736 0.000413 NM_002129 610563 0.000746 BM981444 240653 0.000605 NM_000896 650164 0.000219 NM_013378 360066 0.000592 CR596519 670041 0.000556 NM_015959 380315 0.0003 AF272739 1050128 0.000586 NM_015953 380685 0.000531 NM_015292 1110215 0.000501 NM_002348 450037 0.000157 NM_000887 1240603 0.000255 NM_021872 460754 0.000306 NM_021105 1260228 0.000814 NM_018715 510450 1.30E−05 NM_016286 1410369 0.00052 NM_000155 520332 6.03E−05 NM_000578 1430292 0.000584 NM_002896 620722 0.000193 NM_016408 1440601 0.0009 NM_000896 650164 0.000404 NM_001037325 1470332 0.000876 CR596519 670041 4.42E−05 NM_015039 1580348 0.000158 NM_199337 840730 0.00058 BX101820 1690504 0.000107 NM_031206 1010612 0.000807 NM_002405 1710286 0.000137 NM_004927 1030692 6.28E−05 NM_018285 1780348 0.000257 AF272739 1050128 0.000205 NM_001099786 1820598 0.000418 NM_153611 1090048 0.000874 NM_012395 2000390 0.000425 NM_015292 1110215 4.92E−05 NM_004226 2100035 0.000859 NM_006720 1110575 0.000623 NM_017758 2100221 0.000121 NM_000887 1240603 0.000262 CK299581 2120356 0.000303 NM_021105 1260228 0.00079 NM_014738 2190673 0.000185 NM_006066 1300768 0.000716 XM_935843 2260446 0.000153 XM_377476 1340338 0.000496 NM_007115 2370524 3.72E−06 NM_001039708 1340731 0.000528 BQ372445 2370681 0.000584 NM_004716 1400270 0.000621 T03068 2450497 0.000721 NM_000578 1430292 0.000314 NM_181803 2450603 0.000989 NM_002080 1440546 0.000602 NM_003528 2630451 0.000937 NM_016408 1440601 4.37E−05 NM_025153 2630484 0.000145 NM_004608 1570056 0.000848 NM_005980 2640609 0.000931 NM_015039 1580348 0.000304 NM_001014838 2690609 0.000645 NM_006424 1710189 0.000791 NM_001854 2750070 0.000658 NM_002405 1710286 0.000585 NM_003707 2750408 0.00087 NM_014871 1740576 0.000606 NM_031488 3120301 0.000158 NM_018285 1780348 0.00013 NM_205548 3140088 0.000507 NM_001099786 1820598 3.38E−05 NM_033111 3140246 0.000989 XM_936353 2030544 0.00027 CB046255 3310075 0.000367 NM_198196 2100333 0.000584 BI260057 3310341 0.000518 NM_001077692 2120681 0.000383 NM_014941 3360364 4.61E−05 NM_014738 2190673 0.000294 NM_005698 3370687 0.000458 NM_007115 2370524 1.79E−05 NM_003137 3460674 0.00014 BX096685 2450343 0.000243 NM_213566 3520192 0.000899 T03068 2450497 5.57E−05 NM_005476 3610504 0.000258 NM_024798 2470341 0.000541 NM_004092 3840022 0.000495 NM_006031 2480082 0.000437 X00437 3990639 0.000336 AW578902 2510324 0.00085 AA868051 4150402 0.000262 NM_031412 2630154 0.000422 NM_001042631 4220138 0.000866 NM_003528 2630451 0.000458 AI863525 4230520 0.000274 NM_025153 2630484 9.60E−05 NM_139247 4230653 0.000973 NM_005937 2630719 0.000517 NM_183384 4280047 0.000834 NM_019111 2680370 0.000297 NM_020414 4280332 0.000423 NM_001014838 2690609 9.68E−05 NM_015651 4540082 0.000308 NM_003707 2750408 0.000452 NM_015433 4540301 0.000651 NM_015135 2750521 0.00042 AI433683 4560463 0.000984 NM_005449 2760092 0.000386 NM_003543 4730195 0.000341 NM_001414 2760563 0.000352 CK300859 4730577 0.000106 XM_942926 2810674 0.000825 NM_016553 4760543 2.55E−05 NM_005082 2850576 0.0003 NM_006725 4850192 0.000947 NM_001384 2900524 0.000694 NM_016552 4850541 0.000257 NM_006328 2970332 0.000765 BX096603 4880373 0.000369 NM_031488 3120301 0.000101 NM_014281 4900053 1.89E−05 XM_001127981 3130392 0.000793 NM_015702 5090204 0.000414 NM_006767 3140093 9.93E−05 NM_003559 5090477 0.00074 NM_015710 3170092 0.000305 NM_032312 5290289 0.000641 NM_014941 3360364 7.94E−05 NM_001007239 5310754 0.000923 NM_020808 3370605 0.000651 NM_003906 5390131 0.000496 NM_005698 3370687 0.000781 NM_013270 5690037 0.000251 NM_207311 3420343 0.000462 NM_032118 5700403 0.000798 NM_001042600 3420630 0.000387 BU733214 5860196 0.000367 NM_015288 3420735 0.000524 NM_006082 5900156 0.000222 NM_139244 3460189 0.000483 NM_178510 5910091 0.000822 NM_003137 3460674 0.000106 NM_170699 5960035 0.000233 NM_003707 3520082 0.000268 NM_007255 6100220 0.00078 NM_213566 3520192 0.000257 NM_004044 6110768 0.000385 NM_005476 3610504 5.91E−06 NM_000074 6270128 8.15E−05 XM_932678 3800253 0.000877 AL157484 6280682 0.000692 XM_930898 3830390 0.000483 NM_001039508 6280754 0.000859 NM_004092 3840022 0.000774 NM_005176 6350360 0.000972 NM_001040167 3890095 0.000877 XM_001133111 6370463 0.000949 X00437 3990639 7.90E−05 NM_033416 6380598 0.000496 NM_015054 4060056 0.00066 NM_001040107 6400563 0.000184 NM_004811 4060131 0.000337 NM_024619 6590386 0.000143 NM_022827 4120133 0.00028 NM_030911 6660671 0.00082 AA868051 4150402 0.000788 BX110808 6770491 0.000657 NM_016091 4180142 0.000453 NM_004964 6940242 0.000592 XM_068632 4200451 0.000539 NM_018384 6960746 0.000337 NM_015721 4200538 0.000448 NM_004776 6980070 0.000193 NM_024600 4210647 0.000218 NM_178839 6980609 0.000248 NM_001042631 4220138 3.86E−05 NM_078483 7100136 0.000162 BU608944 4220523 0.00047 NM_006429 7150017 0.000353 NM_139247 4230653 0.00085 NM_006901 7150634 0.000569 NM_020414 4280332 0.000117 NM_001008269 7320100 0.000502 NM_015651 4540082 0.000122 NM_002566 7330487 0.000769 NM_015433 4540301 0.000501 NM_016237 7380288 0.000729 NM_006445 4590082 0.000457 NM_001152 7550537 0.000167 NM_001024667 4590646 0.000137 NM_025228 4640528 0.000617 NM_003543 4730195 0.000136 CK300859 4730577 0.000288 NM_016553 4760543 3.10E−05 NM_005243 4780743 0.000104 NM_030811 4830435 0.000887 NM_006725 4850192 0.000138 NM_024092 4880364 0.000716 NM_014281 4900053 4.57E−05 NM_007047 4920577 0.000318 NM_003559 5090477 0.000745 NM_007355 5130082 0.000293 BU587445 5130747 0.000716 NM_000075 5270500 0.000307 NM_022730 5310050 0.000512 NM_001007239 5310754 0.000134 NM_003906 5390131 0.000193 NM_001001998 5490142 0.000888 NM_152272 5550746 0.000311 AK125708 5560093 0.000731 CR738137 5570632 0.000422 NM_013270 5690037 0.000207 NM_002139 5690673 0.00033 NM_032118 5700403 0.000303 NM_173791 5720398 0.000647 NM_001628 5890327 0.000232 NM_006082 5900156 0.000463 NM_178510 5910091 3.75E−05 NM_170699 5960035 0.000309 NM_014230 6020402 0.000423 NM_032853 6040259 0.000769 NM_007255 6100220 0.000328 NM_144666 6110142 0.000278 XM_931928 6110537 0.000164 NM_004044 6110768 0.00024 NM_017879 6250047 0.000689 NM_005968 6270021 5.91E−05 NM_000074 6270128 2.40E−05 NM_015044 6270364 0.000463 NM_001039508 6280754 0.000111 NM_003755 6290431 0.000599 XM_936128 6290561 0.000182 NM_033301 6380148 0.000611 NM_033416 6380598 0.000216 NM_001005332 6480170 0.000377 NM_025150 6480328 0.000272 NM_033554 6480500 0.00015 XR_018793 6550142 0.000362 NM_024619 6590386 4.64E−05 NM_001007224 6590523 0.000674 NM_176880 6650541 0.000817 CA424950 6650576 0.000636 NM_015540 6860243 0.00038 NM_004964 6940242 0.000349 M97723 6940246 0.000865 NM_018384 6960746 9.79E−05 NM_004776 6980070 0.000502 BI915661 6980274 0.000496 NM_138576 7000133 0.000541 NM_182476 7050543 0.000713 NM_078483 7100136 0.000449 NM_017481 7100392 0.000862 NM_006429 7150017 0.000585 NM_014165 7150601 0.00013 NM_006901 7150634 6.17E−05 NM_014976 7160296 0.000121 NM_003757 7320576 0.000262 NM_007167 7380274 0.000374 NM_016237 7380288 0.000189 NM_199176 7380736 0.000151 NM_004515 7400431 0.000268 NM_001037161 7510224 0.000692 NM_001152 7550537 3.79E−05 AW378958 7650195 0.000868 List 40 List 41 AUC 0.83 0.83 Number of 139 76 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_023003 10541 0.000994 XM_001129663 130288 0.000967555 NM_015062 20647 0.00029 AF086457 150711 0.000995494 NM_022136 150632 0.000985 XM_932547 160121 0.000543584 NM_182898 160132 0.000337 NM_012212 430100 0.000975513 XM_933240 160202 0.000856 NM_002348 450037 0.000350758 NM_016292 160736 0.000824 NM_018715 510450 0.000153264 BM981444 240653 0.00033 NM_000155 520332 0.000379381 NM_005103 360343 0.000565 NM_000896 650164 4.19E−05 NM_002348 450037 0.000343 CR596519 670041 0.000321057 NM_194260 460273 0.000767 XR_015582 770452 0.00028943 NM_021872 460754 0.0007 AF272739 1050128 8.83E−05 NM_018715 510450 0.000131 NM_015292 1110215 0.000716998 NM_000155 520332 2.35E−05 NM_000887 1240603 0.000604748 NM_002129 610563 0.000374 NM_000578 1430292 0.000659744 NM_000896 650164 0.00015 NM_001037325 1470332 0.000892709 CR596519 670041 0.000147 NM_015039 1580348 0.00031588 AF272739 1050128 0.000152 NM_001099786 1820598 0.00051759 NM_015292 1110215 0.00015 XM_936353 2030544 0.000512868 NM_006720 1110575 0.000762 AA910733 2070452 0.00084824 NM_000878 1170307 0.000104 CK299581 2120356 0.000628114 NM_000887 1240603 0.000197 XM_935843 2260446 0.0006325 NM_021105 1260228 0.000594 NM_007115 2370524 2.66E−05 NM_000578 1430292 0.000702 T03068 2450497 9.16E−05 NM_007199 1430762 0.000974 NM_031412 2630154 0.000460849 NM_016408 1440601 0.000952 NM_003528 2630451 0.000164316 NM_015039 1580348 0.000112 NM_025153 2630484 5.73E−06 NM_002405 1710286 0.000679 NM_031488 3120301 0.00035633 NM_018285 1780348 0.000315 NM_014941 3360364 0.000256835 NM_001099786 1820598 0.000486 NM_139244 3460189 0.000543541 NM_024108 1980424 0.00077 NM_003137 3460674 0.000329184 BM272556 2000474 0.000743 NM_003707 3520082 0.000548335 NM_004226 2100035 0.000361 NM_213566 3520192 0.000493729 NM_198196 2100333 0.000214 NM_005476 3610504 0.00041975 NM_014738 2190673 0.000171 NM_000648 3800270 0.000658 XM_935843 2260446 0.000147 XM_930898 3830390 9.69E−05 NM_007115 2370524 5.38E−06 BU729036 3850367 0.000727926 T03068 2450497 0.000187 XM_940524 3940368 0.000574144 NM_003528 2630451 0.000475 X00437 3990639 0.000502646 NM_025153 2630484 4.79E−05 NM_001042631 4220138 0.000983279 NM_001004486 2650435 0.000736 NM_139247 4230653 0.000804645 NM_019111 2680370 0.00088 NM_020414 4280332 0.000499428 NM_001014838 2690609 0.000385 AI433683 4560463 0.000717484 NM_003059 2710397 0.000618 NM_003543 4730195 7.59E−05 NM_005449 2760092 0.000716 CK300859 4730577 0.000936691 NM_001414 2760563 0.000392 NM_016553 4760543 0.000243693 NM_031488 3120301 7.69E−05 NM_016552 4850541 0.000669538 NM_017905 3130091 0.000503 NM_014281 4900053 0.000354862 NM_004555 3130291 0.000433 NM_003559 5090477 0.000479668 NM_006767 3140093 0.000793 NM_002150 5090554 0.000386719 NM_015710 3170092 0.000556 AA765688 5090647 0.000869847 NM_014941 3360364 0.000147 CD243631 5270450 0.00060787 NM_005698 3370687 0.000692 NM_006321 5390669 0.00081847 NM_015288 3420735 0.000198 NM_013270 5690037 0.000448829 NM_139244 3460189 0.000564 NM_002808 5720497 0.000365747 NM_024430 3460523 0.000681 BU733214 5860196 0.000376113 NM_003137 3460674 0.000151 NM_021052 5860400 0.000553416 NM_003707 3520082 0.000716 BM974838 5870300 0.000467433 NM_213566 3520192 0.000105 NM_006082 5900156 0.000427862 NM_001002010 3780689 0.000968 XM_931928 6110537 0.000483991 XM_930898 3830390 0.000161 NM_004044 6110768 0.000593588 NM_004092 3840022 0.000609 NM_000074 6270128 0.000132118 XM_940524 3940368 0.00042 NM_033416 6380598 0.000237334 XM_496059 3990465 0.000615 NM_033554 6480500 0.00084761 X00437 3990639 0.000235 NM_024619 6590386 0.000849346 NM_004811 4060131 0.000831 NM_018384 6960746 0.000360717 NM_022827 4120133 0.000505 NM_004776 6980070 0.000499209 NM_001779 4150161 0.00042 BI915661 6980274 0.000463447 AA868051 4150402 0.000207 XM_943393 7050196 0.000728506 NM_002756 4150632 0.000469 NM_078483 7100136 0.000438979 XM_068632 4200451 0.000873 NM_006901 7150634 0.000283864 NM_015721 4200538 0.000584 NM_001152 7550537 0.000157677 NM_024600 4210647 0.000148 NM_183384 4280047 0.000803 NM_020414 4280332 0.000117 NM_015651 4540082 0.000304 BC016972 4540088 0.000796 NM_015433 4540301 0.000711 AI433683 4560463 0.000705 NM_138931 4640044 0.000713 AK055286 4640369 0.0007 NM_025228 4640528 0.000891 CR603222 4730088 0.000941 NM_003543 4730195 0.000236 NM_001017404 4760364 0.00038 NM_016553 4760543 4.28E−05 NM_006725 4850192 0.000318 NM_021809 4850438 0.000722 NM_016552 4850541 0.000256 NM_015239 4860132 0.000443 NM_014281 4900053 9.51E−05 NM_018079 5080056 0.0007 NM_003559 5090477 0.00056 AA431917 5130154 0.00036 NM_005902 5130767 0.000572 XM_941161 5270689 0.000583 NM_032312 5290289 0.000232 DB081324 5290291 0.000823 NM_001007239 5310754 0.000388 NM_003906 5390131 0.000811 NM_006321 5390669 0.000576 NM_152272 5550746 0.000894 NM_013270 5690037 5.68E−05 NM_032118 5700403 0.000329 BU733214 5860196 0.000752 NM_021052 5860400 0.000785 NM_006082 5900156 0.000438 NM_178510 5910091 0.000459 NM_003415 6020132 0.000835 NM_014230 6020402 0.000743 NM_003645 6110328 0.000347 NM_004044 6110768 0.000153 NM_005968 6270021 0.000656 NM_000074 6270128 0.000174 NM_002964 6280576 0.000386 NM_001039508 6280754 0.000586 XM_936128 6290561 0.00059 NM_033416 6380598 0.000425 NM_001040107 6400563 0.000633 AK128384 6420541 0.000366 NM_001005332 6480170 0.000873 NM_033554 6480500 0.000209 NM_024619 6590386 0.000208 NM_001007224 6590523 0.000785 AA576740 6840408 0.000455 NM_018384 6960746 0.000158 NM_004776 6980070 0.000353 NM_138576 7000133 0.000571 NM_025263 7000408 0.000678 NM_017773 7000768 0.000871 NM_182476 7050543 0.000265 NM_078483 7100136 0.000348 NM_017481 7100392 0.000469 NM_006901 7150634 0.000566 NM_014976 7160296 0.000616 AW263210 7200477 0.000483 NM_002566 7330487 0.000789 NM_016237 7380288 0.000652 NM_001152 7550537 0.000125 NM_001313 7650458 0.000741 List 42 List 43 AUC 0.8 0.83 Number of 179 235 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_177972 10142 0.001455775 NM_177972 10142 0.001205516 NM_023003 10541 0.001509385 NM_023003 10541 0.000994411 NM_015062 20647 0.001282411 NM_145799 20154 0.001201106 NR_002196 50347 0.001048941 NM_015062 20647 0.000290214 NM_001005920 60328 0.001590938 NM_052901 130113 0.001702288 NM_006567 130403 0.001951351 NM_006567 130403 0.001900395 NM_182898 160132 0.000250783 NM_021078 130451 0.001449391 NM_012426 160682 0.001499205 NM_022136 150632 0.000985415 NM_016292 160736 0.001811398 NM_182898 160132 0.000336575 NM_002348 450037 0.000324895 XM_933240 160202 0.000855747 NM_194260 460273 0.000300085 NM_012426 160682 0.001132496 NM_021872 460754 0.001970943 NM_016292 160736 0.000823789 NM_018715 510450 9.61E−05 BM981444 240653 0.000329936 NM_000155 520332 0.000227815 NM_014767 270341 0.001153057 NM_016616 580050 0.001820349 NM_013378 360066 0.00185082 NM_002129 610563 0.000745793 NM_005103 360343 0.000565315 NM_002896 620722 0.001367871 NM_022830 360402 0.0015493 NM_000896 650164 0.000218568 NM_015953 380685 0.001028314 CR596519 670041 0.000555537 NM_002348 450037 0.000342948 NM_016524 730725 0.001960238 NM_016025 460142 0.001033844 XR_015582 770452 0.001367101 NM_194260 460273 0.000767067 NM_199337 840730 0.001996372 NM_021872 460754 0.00069976 NM_012252 990377 0.001966311 NM_018715 510450 0.000130559 AF272739 1050128 0.000586303 NM_000155 520332 2.35E−05 NM_024949 1070348 0.001834797 NM_002129 610563 0.000374121 NM_207107 1070377 0.001852816 NM_002896 620722 0.001603312 NM_015292 1110215 0.000501175 NM_000896 650164 0.000149638 NM_006720 1110575 0.001923291 CR596519 670041 0.000147409 NM_000887 1240603 0.000255241 CA432760 730397 0.001748612 NM_021105 1260228 0.000813953 NM_016524 730725 0.001501236 XM_377476 1340338 0.00195378 NM_012252 990377 0.001576745 NM_016286 1410369 0.00051991 NM_021209 1030041 0.001669455 NM_000578 1430292 0.00058391 AF272739 1050128 0.000152295 NM_007199 1430762 0.001161483 NM_015292 1110215 0.000149721 NM_003343 1440382 0.001824632 NM_006720 1110575 0.000762316 NM_016408 1440601 0.000900231 NM_000878 1170307 0.00010424 NM_001037325 1470332 0.00087564 NM_000887 1240603 0.000196853 NM_015039 1580348 0.000158009 NM_021105 1260228 0.000594326 BX101820 1690504 0.000106674 XM_377476 1340338 0.001889526 NM_002405 1710286 0.000137385 NM_001039708 1340731 0.00168399 NM_018285 1780348 0.000256512 NM_000578 1430292 0.000702443 NM_001099786 1820598 0.00041803 NM_007199 1430762 0.000974164 NM_019053 1940543 0.001551335 NM_001716 1440291 0.001369031 NM_024108 1980424 0.00157856 NM_002080 1440546 0.001300066 NM_005184 1990762 0.001396592 NM_016408 1440601 0.000951667 NM_012395 2000390 0.000424974 NM_198578 1450523 0.001983745 NM_001040138 2000551 0.001316344 NM_006306 1500040 0.001896817 NM_004226 2100035 0.000858826 NM_000314 1500717 0.001298645 NM_017758 2100221 0.000121456 NM_015039 1580348 0.00011162 CK299581 2120356 0.000302925 NM_153201 1690189 0.001949371 NM_014738 2190673 0.000184581 NM_002405 1710286 0.000679139 XM_935843 2260446 0.000153083 NM_018285 1780348 0.000315017 NM_007115 2370524 3.72E−06 NM_001099786 1820598 0.000486241 BQ372445 2370681 0.000583714 NM_019053 1940543 0.00145107 AI217168 2450039 0.00159536 NM_024108 1980424 0.000769832 BX096685 2450343 0.001623928 NM_012395 2000390 0.001426973 T03068 2450497 0.000720837 BM272556 2000474 0.000743311 NM_181803 2450603 0.000989016 NM_012155 2030450 0.00150662 NM_031412 2630154 0.001573117 XM_936353 2030544 0.001713621 NM_020408 2630181 0.001285023 NM_153211 2070241 0.001855622 NM_003528 2630451 0.000936813 NM_004226 2100035 0.000361256 NM_025153 2630484 0.000144774 NM_198196 2100333 0.000214022 NM_005980 2640609 0.000930504 NM_014738 2190673 0.000170793 NM_001014838 2690609 0.000645403 NM_005356 2230661 0.001037064 NM_001854 2750070 0.000658161 XM_935843 2260446 0.000146988 NM_003707 2750408 0.00087014 NM_007115 2370524 5.38E−06 NM_001384 2900524 0.001359091 BX096685 2450343 0.001065272 NM_031488 3120301 0.000157583 T03068 2450497 0.000187261 NM_017905 3130091 0.001142323 NM_181803 2450603 0.001592676 NM_004555 3130291 0.001591589 NM_003864 2510133 0.001559663 NM_016230 3140039 0.001651147 NM_003528 2630451 0.000474784 NM_205548 3140088 0.00050659 NM_025153 2630484 4.79E−05 NM_006767 3140093 0.001209303 NM_005937 2630719 0.001161538 NM_033111 3140246 0.000989192 NM_001004486 2650435 0.000736149 NM_015710 3170092 0.001022851 NM_019111 2680370 0.000879629 CB046255 3310075 0.000366533 NM_001014838 2690609 0.000385489 BI260057 3310341 0.000518393 NM_003059 2710397 0.000617745 NM_014941 3360364 4.61E−05 NM_001854 2750070 0.001698008 NM_005698 3370687 0.000458431 NM_003707 2750408 0.001506297 NM_015288 3420735 0.001555312 NM_005449 2760092 0.000716486 NM_012110 3440431 0.001983618 NM_017917 2760110 0.001751093 NM_139244 3460189 0.001215325 NM_001414 2760563 0.000392459 NM_003137 3460674 0.000140303 NM_014675 2970440 0.001409012 NM_213566 3520192 0.000898773 NM_031488 3120301 7.69E−05 NM_005476 3610504 0.000257877 NM_017905 3130091 0.00050347 NM_002883 3710189 0.001487804 NM_004555 3130291 0.000432943 NM_018129 3780220 0.00176732 NM_020750 3130711 0.001688086 XM_943902 3800382 0.001606194 NM_016230 3140039 0.001128807 NM_004092 3840022 0.000494857 NM_006767 3140093 0.000793272 NM_024326 3930687 0.001644948 NM_033111 3140246 0.001124347 X00437 3990639 0.000336428 NM_015710 3170092 0.000556457 BM668555 4050270 0.001618552 NM_198397 3290433 0.001315615 NM_153329 4050411 0.001925397 NM_014941 3360364 0.00014666 NM_004811 4060131 0.001071434 NM_005698 3370687 0.000691938 NM_001779 4150161 0.001026744 NM_003475 3390008 0.001166907 AA868051 4150402 0.000261699 NM_000884 3400504 0.001521663 NM_002756 4150632 0.001355827 NM_207311 3420343 0.001358147 XM_378421 4200148 0.001375051 NM_001042600 3420630 0.001751811 NM_015721 4200538 0.001048016 NM_015722 3420682 0.001958483 NM_024600 4210647 0.001183759 NM_015288 3420735 0.000197646 NM_001042631 4220138 0.000866129 NM_012110 3440431 0.001902524 AI863525 4230520 0.000273914 NM_139244 3460189 0.000564028 NM_139247 4230653 0.000972849 NM_024430 3460523 0.000680886 NM_183384 4280047 0.000834238 NM_003137 3460674 0.00015086 NM_020414 4280332 0.000423393 NM_003707 3520082 0.000716187 NM_015651 4540082 0.000308128 NM_213566 3520192 0.000105064 NM_015433 4540301 0.000650852 NM_005476 3610504 0.001872286 AI433683 4560463 0.000983865 NM_002883 3710189 0.001569979 NM_138931 4640044 0.001309072 NM_001002010 3780689 0.000967825 DA122577 4670259 0.001993396 NM_000648 3800270 0.001318335 NM_003543 4730195 0.000340803 XM_930898 3830390 0.000160792 CK300859 4730577 0.00010617 NM_004092 3840022 0.000609434 NM_016553 4760543 2.55E−05 NM_139353 3850025 0.001493499 NM_030811 4830435 0.001748283 CF887308 3940020 0.001195029 NM_006725 4850192 0.000946757 XM_940524 3940368 0.000419906 NM_016552 4850541 0.000256939 NM_080387 3990328 0.001779697 NM_032320 4860296 0.00121432 XM_496059 3990465 0.000614594 BX096603 4880373 0.000369008 X00437 3990639 0.000234692 NM_014281 4900053 1.89E−05 NM_002635 4050398 0.00105853 BM669760 4900497 0.00193133 NM_004811 4060131 0.000831301 NM_018079 5080056 0.001049521 NM_022827 4120133 0.000504567 NM_015702 5090204 0.000413861 NM_001779 4150161 0.000419842 NM_003559 5090477 0.000740219 AA868051 4150402 0.000207276 AA431917 5130154 0.001306591 NM_002756 4150632 0.000469327 NM_003853 5130475 0.001765236 XM_378421 4200148 0.001019252 NM_032312 5290289 0.000641347 XM_068632 4200451 0.0008735 NM_022730 5310050 0.001909285 NM_015721 4200538 0.000584201 NM_001007239 5310754 0.000922676 NM_024600 4210647 0.000147792 NM_003906 5390131 0.00049562 NM_001042631 4220138 0.001022931 NM_013270 5690037 0.000251306 NM_183384 4280047 0.000803349 NM_032118 5700403 0.000798036 AI745611 4280068 0.00164308 XR_000589 5810465 0.001969496 NM_020414 4280332 0.000117208 BU733214 5860196 0.000367358 XR_017960 4490224 0.001830753 NM_006082 5900156 0.000222424 NM_015651 4540082 0.000304396 NM_178510 5910091 0.000822308 BC016972 4540088 0.000795764 NM_170699 5960035 0.000233217 NM_015433 4540301 0.000710743 NM_003415 6020132 0.001267767 AI433683 4560463 0.000705494 NM_004833 6040639 0.001695946 NM_138931 4640044 0.000713445 NM_181786 6060133 0.00162644 AK055286 4640369 0.000699528 NM_007255 6100220 0.000779956 NM_025228 4640528 0.00089107 NM_007365 6110133 0.001213074 CR603222 4730088 0.000941409 XM_931928 6110537 0.001296279 NM_003543 4730195 0.000235721 NM_004044 6110768 0.000384684 CK300859 4730577 0.001100674 NM_000074 6270128 8.15E−05 NM_001017404 4760364 0.000380432 NM_002964 6280576 0.001046577 NM_016553 4760543 4.28E−05 AL157484 6280682 0.000692263 BX505043 4780386 0.001514465 NM_001039508 6280754 0.000859212 NM_005243 4780743 0.001281728 NM_003755 6290431 0.001811343 NM_006725 4850192 0.000317824 XM_936128 6290561 0.001923956 NM_021809 4850438 0.000722439 NM_021729 6330634 0.001320036 NM_016552 4850541 0.000255862 NM_005176 6350360 0.000972125 NM_015239 4860132 0.00044276 XM_001133111 6370463 0.000949474 NM_032320 4860296 0.001183736 NM_033416 6380598 0.00049647 NM_024092 4880364 0.00185419 NM_001040107 6400563 0.000184244 NM_014281 4900053 9.51E−05 NM_025150 6480328 0.001837392 NM_018079 5080056 0.000700252 NM_033554 6480500 0.001722237 NM_015702 5090204 0.001582017 NM_020679 6520241 0.001034378 NM_003559 5090477 0.000560435 XR_018793 6550142 0.001141491 AA431917 5130154 0.000360375 NM_024619 6590386 0.000143395 NM_003221 5130553 0.001273633 CA436726 6620102 0.001192211 NM_005902 5130767 0.000571789 NM_030911 6660671 0.00081986 NM_000075 5270500 0.001835783 BX110808 6770491 0.000657189 XM_941161 5270689 0.000583152 NM_004964 6940242 0.000592208 NM_032312 5290289 0.000231901 NM_018384 6960746 0.000336644 DB081324 5290291 0.000823148 NM_004776 6980070 0.000192696 NM_022730 5310050 0.001869828 NM_178839 6980609 0.00024765 NM_001007239 5310754 0.000388228 NM_182476 7050543 0.001998652 NM_003906 5390131 0.000810601 NM_078483 7100136 0.000161958 NM_006321 5390669 0.000575519 NM_006429 7150017 0.000353009 NM_152272 5550746 0.000893729 NM_006901 7150634 0.000568867 NM_006790 5670039 0.001231623 NM_014976 7160296 0.001140352 NM_005500 5690008 0.001570626 NM_001008269 7320100 0.000501803 NM_013270 5690037 5.68E−05 NM_002566 7330487 0.00076861 NM_032118 5700403 0.000328534 NM_007167 7380274 0.001266876 NM_173791 5720398 0.001146565 NM_016237 7380288 0.000728709 NM_017570 5820348 0.001014231 NM_001037161 7510224 0.001607632 BU733214 5860196 0.000751778 NM_001003722 7510369 0.001718796 NM_021052 5860400 0.000785259 NM_001152 7550537 0.00016679 BM974838 5870300 0.001818853 NM_024422 7650025 0.001466782 NM_001628 5890327 0.001763401 NM_006082 5900156 0.000437807 NM_178510 5910091 0.000458692 NM_170699 5960035 0.001612667 NM_003415 6020132 0.000834508 NM_014230 6020402 0.000743313 NM_032839 6020575 0.001112521 NM_007255 6100220 0.001551483 NM_023926 6110291 0.001410392 NM_003645 6110328 0.000347124 XM_931928 6110537 0.001038214 NM_004044 6110768 0.000153478 NM_146388 6250367 0.001571306 NM_005968 6270021 0.000656292 NM_000074 6270128 0.000174489 NM_002964 6280576 0.00038563 NM_001039508 6280754 0.000586113 NM_003755 6290431 0.00138378 XM_936128 6290561 0.000589939 NM_033416 6380598 0.000424599 NM_001040107 6400563 0.000632811 AK128384 6420541 0.000366212 NM_001005332 6480170 0.000872739 NM_033554 6480500 0.000208647 XR_018793 6550142 0.00134571 NM_006164 6580075 0.001946183 NM_024619 6590386 0.000207786 NM_001007224 6590523 0.000784655 NM_000632 6660709 0.001859075 NM_006825 6770348 0.001569187 AA576740 6840408 0.000454974 NM_001024401 6900348 0.001037245 NM_004964 6940242 0.001770056 NM_001033515 6960328 0.001773863 NM_018384 6960746 0.000157737 NM_004776 6980070 0.000352936 BI915661 6980274 0.001511178 NM_138576 7000133 0.000570876 NM_025263 7000408 0.00067838 NM_017773 7000768 0.000871131 NM_182476 7050543 0.000265389 NM_078483 7100136 0.000347929 NM_017481 7100392 0.000469408 NM_006429 7150017 0.001241951 NM_014165 7150601 0.001386685 NM_006901 7150634 0.000566389 NM_014976 7160296 0.000615809 NM_005020 7200224 0.001851926 AW263210 7200477 0.000483002 NM_003757 7320576 0.001440481 NM_002566 7330487 0.000789279 NM_001005203 7380209 0.001686087 NM_007167 7380274 0.00195808 NM_016237 7380288 0.000652014 NM_001152 7550537 0.000125031 NM_024422 7650025 0.001180182 NM_001313 7650458 0.000740865 List 44 List 45 AUC 0.83 0.8 Number of 142 274 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_023003 10541 0.001154 NM_177972 10142 0.001456 NM_006152 20553 0.001572 NM_001031717 10338 0.002688 NM_015062 20647 0.001034 NM_023003 10541 0.001509 XM_001129663 130288 0.000968 NM_006152 20553 0.002204 NM_022136 150632 0.001841 NM_015062 20647 0.001282 AF086457 150711 0.000995 NM_006369 50240 0.002043 XM_932547 160121 0.000544 NR_002196 50347 0.001049 NM_182898 160132 0.001608 NM_001005920 60328 0.001591 NM_015953 380685 0.001852 NM_006567 130403 0.001951 NM_012212 430100 0.000976 NM_022136 150632 0.002125 NM_002348 450037 0.000351 NM_182898 160132 0.000251 NM_018715 510450 0.000153 NM_012426 160682 0.001499 NM_000155 520332 0.000379 NM_016292 160736 0.001811 NM_002129 610563 0.001672 BM981444 240653 0.002952 AW852357 610615 0.001548 NM_013378 360066 0.002782 NM_001039548 620215 0.001881 NM_005103 360343 0.002696 NM_002896 620722 0.001524 XM_929457 380762 0.002276 NM_000896 650164 4.19E−05 NM_002348 450037 0.000325 CR596519 670041 0.000321 NM_194260 460273 0.0003 XR_015582 770452 0.000289 NM_021872 460754 0.001971 XM_938718 870750 0.001841 NM_018715 510450 9.61E−05 XM_939144 940706 0.001055 NM_000155 520332 0.000228 AW451403 1030270 0.001433 NM_016616 580050 0.00182 AI311332 1030600 0.001247 NM_002129 610563 0.000746 AF272739 1050128 8.83E−05 NM_004928 610653 0.002308 NM_015292 1110215 0.000717 NM_002896 620722 0.001368 BC041984 1110358 0.001264 NM_000896 650164 0.000219 NM_003793 1110538 0.001911 NM_002727 650541 0.002564 NM_000887 1240603 0.000605 CR596519 670041 0.000556 NM_000578 1430292 0.00066 NM_001517 730543 0.00241 NM_003343 1440382 0.0011 NM_016524 730725 0.00196 NM_001037325 1470332 0.000893 XR_015582 770452 0.001367 CB240909 1470372 0.00138 NM_001398 770458 0.002653 NM_015039 1580348 0.000316 CA429313 840139 0.002331 NM_018285 1780348 0.001088 NM_199337 840730 0.001996 NM_001099786 1820598 0.000518 NM_015380 990273 0.002688 NM_012395 2000390 0.001032 NM_012252 990377 0.001966 BM272556 2000474 0.001239 AA335815 1010671 0.002966 XM_936353 2030544 0.000513 AF272739 1050128 0.000586 NM_001013651 2060338 0.001442 NM_006608 1070189 0.00296 AA910733 2070452 0.000848 NM_024949 1070348 0.001835 NM_004226 2100035 0.001599 NM_207107 1070377 0.001853 CK299581 2120356 0.000628 NM_153611 1090048 0.002929 XM_935843 2260446 0.000632 NM_016464 1090139 0.002779 XM_932015 2370341 0.001837 NM_015292 1110215 0.000501 NM_007115 2370524 2.66E−05 BC041984 1110358 0.002383 BX096685 2450343 0.001304 NM_003793 1110538 0.002744 T03068 2450497 9.16E−05 NM_006720 1110575 0.001923 NM_031412 2630154 0.000461 NM_006576 1240070 0.002371 NM_003528 2630451 0.000164 NM_000887 1240603 0.000255 NM_025153 2630484 5.73E−06 NM_021105 1260228 0.000814 NM_005980 2640609 0.001492 XM_377476 1340338 0.001954 NM_019111 2680370 0.001629 NM_016286 1410369 0.00052 NM_001014838 2690609 0.001107 NM_000578 1430292 0.000584 NM_001414 2760563 0.001875 NM_007199 1430762 0.001161 BG188859 2810630 0.001682 NM_003343 1440382 0.001825 XM_001126803 2850274 0.001641 NM_002080 1440546 0.002679 NM_031488 3120301 0.000356 NM_016408 1440601 0.0009 NM_020925 3140142 0.00138 NM_001686 1450706 0.002817 BX111143 3180440 0.001248 NM_001037325 1470332 0.000876 NM_014941 3360364 0.000257 CB240909 1470372 0.002717 XM_001126287 3440040 0.001018 NM_003855 1500328 0.002353 NM_139244 3460189 0.000544 NM_015039 1580348 0.000158 NM_003137 3460674 0.000329 BX101820 1690504 0.000107 NM_003707 3520082 0.000548 NM_002405 1710286 0.000137 NM_213566 3520192 0.000494 NM_003375 1770379 0.002947 NM_005476 3610504 0.00042 NM_018285 1780348 0.000257 NM_000648 3800270 0.000658 NM_001099786 1820598 0.000418 XM_930898 3830390 9.69E−05 NM_019053 1940543 0.001551 BU729036 3850367 0.000728 NM_016839 1980092 0.002857 XM_940524 3940368 0.000574 NM_024108 1980424 0.001579 XM_496059 3990465 0.001402 NM_005184 1990762 0.001397 X00437 3990639 0.000503 NM_012395 2000390 0.000425 NM_022827 4120133 0.001575 NM_001040138 2000551 0.001316 AA868051 4150402 0.001528 NM_012155 2030450 0.002936 NM_024600 4210647 0.001538 XM_936353 2030544 0.002128 NM_001042631 4220138 0.000983 NM_175887 2070201 0.002794 NM_139247 4230653 0.000805 NM_004226 2100035 0.000859 NM_020414 4280332 0.000499 NM_017758 2100221 0.000121 NM_015651 4540082 0.001064 NM_006469 2100519 0.002129 AI433683 4560463 0.000717 CK299581 2120356 0.000303 XM_942378 4590400 0.001671 NM_207111 2190524 0.002054 NM_003543 4730195 7.59E−05 NM_014738 2190673 0.000185 CK300859 4730577 0.000937 AI537683 2230594 0.002292 NM_016553 4760543 0.000244 XM_935843 2260446 0.000153 NM_012321 4830563 0.001969 XM_932015 2370341 0.002144 NM_006725 4850192 0.001494 NM_007115 2370524 3.72E−06 XM_936107 4850241 0.001146 BQ372445 2370681 0.000584 NM_016552 4850541 0.00067 AI217168 2450039 0.001595 NM_014281 4900053 0.000355 BX096685 2450343 0.001624 NM_003559 5090477 0.00048 T03068 2450497 0.000721 NM_002150 5090554 0.000387 NM_181803 2450603 0.000989 AA765688 5090647 0.00087 NM_031412 2630154 0.001573 CD243631 5270450 0.000608 NM_020408 2630181 0.001285 NM_000075 5270500 0.001944 NM_003528 2630451 0.000937 NM_032312 5290289 0.001788 NM_025153 2630484 0.000145 NM_012387 5310653 0.001357 NM_005937 2630719 0.002777 NM_003906 5390131 0.001975 NM_005980 2640609 0.000931 NM_006321 5390669 0.000818 NM_001014838 2690609 0.000645 BX113537 5550270 0.001739 NM_003059 2710397 0.002168 NM_152272 5550746 0.001593 NM_000477 2710427 0.002062 NM_013270 5690037 0.000449 NM_001018062 2750035 0.002623 NM_032118 5700403 0.001594 NM_001854 2750070 0.000658 NM_002808 5720497 0.000366 NM_003707 2750408 0.00087 NM_017570 5820348 0.001129 NM_005082 2850576 0.002305 BU733214 5860196 0.000376 NM_001384 2900524 0.001359 NM_021052 5860400 0.000553 NM_003553 2940053 0.002948 BM974838 5870300 0.000467 NM_032491 3120181 0.00276 NM_006082 5900156 0.000428 NM_031488 3120301 0.000158 NM_005548 5900414 0.001635 NM_017905 3130091 0.001142 NM_178510 5910091 0.001985 NM_004555 3130291 0.001592 XM_001131964 5910343 0.001426 NM_016230 3140039 0.001651 NM_170699 5960035 0.001112 NM_205548 3140088 0.000507 XM_931928 6110537 0.000484 NM_006767 3140093 0.001209 NM_004044 6110768 0.000594 NM_020925 3140142 0.002377 NM_000074 6270128 0.000132 NM_033111 3140246 0.000989 NM_001039508 6280754 0.001096 NM_015710 3170092 0.001023 XM_936128 6290561 0.001469 XM_936295 3180523 0.002392 NM_033416 6380598 0.000237 CB046255 3310075 0.000367 NM_033554 6480500 0.000848 BI260057 3310341 0.000518 AW779539 6510452 0.001498 NM_014941 3360364 4.61E−05 NM_024619 6590386 0.000849 NM_020808 3370605 0.002185 NM_001007224 6590523 0.001316 NM_005698 3370687 0.000458 CB066794 6650482 0.00196 NM_003475 3390008 0.002397 CA424950 6650576 0.00117 NM_170736 3390458 0.002464 M97723 6940246 0.001888 NM_015288 3420735 0.001555 NM_018384 6960746 0.000361 XM_001126287 3440040 0.002183 NM_004776 6980070 0.000499 NM_012110 3440431 0.001984 BI915661 6980274 0.000463 NM_139244 3460189 0.001215 XM_943393 7050196 0.000729 NM_024430 3460523 0.002452 NM_078483 7100136 0.000439 NM_003137 3460674 0.00014 NM_017481 7100392 0.001519 NM_003707 3520082 0.00205 NM_006429 7150017 0.00141 NM_213566 3520192 0.000899 NM_006901 7150634 0.000284 NM_005476 3610504 0.000258 NM_014976 7160296 0.001192 NM_002883 3710189 0.001488 NM_003757 7320576 0.00123 NM_018129 3780220 0.001767 NM_007167 7380274 0.00159 NM_001002010 3780689 0.002077 NM_016237 7380288 0.001302 XM_943902 3800382 0.001606 NM_001923 7400121 0.001106 XM_930898 3830390 0.002862 NM_001152 7550537 0.000158 NM_004092 3840022 0.000495 NM_032717 7610546 0.001923 NM_024326 3930687 0.001645 NM_001313 7650458 0.001914 NM_000849 3940386 0.002075 XM_496059 3990465 0.002277 X00437 3990639 0.000336 BM668555 4050270 0.001619 NM_002635 4050398 0.002878 NM_153329 4050411 0.001925 NM_015054 4060056 0.002765 NM_004811 4060131 0.001071 NM_030915 4120086 0.002988 NM_001779 4150161 0.001027 AA868051 4150402 0.000262 NM_002756 4150632 0.001356 NM_016091 4180142 0.00252 XM_378421 4200148 0.001375 NM_015721 4200538 0.001048 NM_024600 4210647 0.001184 NM_001042631 4220138 0.000866 NM_002496 4220181 0.002053 AI863525 4230520 0.000274 NM_139247 4230653 0.000973 NM_183384 4280047 0.000834 NM_020414 4280332 0.000423 NM_138554 4390615 0.002746 NM_015651 4540082 0.000308 BC016972 4540088 0.002144 NM_015433 4540301 0.000651 AI433683 4560463 0.000984 NM_015654 4560601 0.002683 BU752667 4560703 0.002272 BX096530 4610670 0.002723 NM_138931 4640044 0.001309 DA122577 4670259 0.001993 NM_003543 4730195 0.000341 CK300859 4730577 0.000106 NM_016553 4760543 2.55E−05 NM_005243 4780743 0.002978 NM_030811 4830435 0.001748 NM_006725 4850192 0.000947 NM_016552 4850541 0.000257 NM_032320 4860296 0.001214 BX096603 4880373 0.000369 NM_014281 4900053 1.89E−05 BM669760 4900497 0.001931 NM_018079 5080056 0.00105 NM_015702 5090204 0.000414 NM_003559 5090477 0.00074 NM_007355 5130082 0.002507 AA431917 5130154 0.001307 NM_003853 5130475 0.001765 BU587445 5130747 0.00211 NM_000075 5270500 0.002368 NM_032312 5290289 0.000641 NM_022730 5310050 0.001909 NM_001033667 5310136 0.002721 NM_012387 5310653 0.002029 NM_001007239 5310754 0.000923 AA668491 5360400 0.00277 NM_003906 5390131 0.000496 NM_006321 5390669 0.002487 NM_152272 5550746 0.0025 NM_013270 5690037 0.000251 NM_032118 5700403 0.000798 XR_000589 5810465 0.001969 NM_017570 5820348 0.002957 BU733214 5860196 0.000367 NM_006082 5900156 0.000222 NM_005548 5900414 0.002062 NM_178510 5910091 0.000822 NM_170699 5960035 0.000233 NM_139215 5960128 0.002869 NM_003415 6020132 0.001268 NM_014230 6020402 0.002218 NM_004833 6040639 0.001696 NM_181786 6060133 0.001626 NM_007255 6100220 0.00078 NM_007365 6110133 0.001213 XM_931928 6110537 0.001296 NM_004044 6110768 0.000385 NM_006503 6180192 0.002611 NM_005968 6270021 0.002343 NM_000074 6270128 8.15E−05 NM_002964 6280576 0.001047 AL157484 6280682 0.000692 NM_001039508 6280754 0.000859 NM_003755 6290431 0.001811 XM_936128 6290561 0.001924 NM_021729 6330634 0.00132 NM_005176 6350360 0.000972 XM_001133111 6370463 0.000949 NM_033416 6380598 0.000496 NM_006519 6380731 0.002754 AI184681 6400026 0.002376 NM_001040107 6400563 0.000184 NM_001005332 6480170 0.002105 NM_025150 6480328 0.001837 NM_033554 6480500 0.001722 AI732550 6480554 0.002036 NM_020679 6520241 0.001034 XR_018793 6550142 0.001141 NM_006164 6580075 0.002164 NM_024619 6590386 0.000143 NM_001007224 6590523 0.002247 CA436726 6620102 0.001192 AL577216 6650356 0.002786 NM_030911 6660671 0.00082 NM_144779 6760487 0.002952 NM_006825 6770348 0.002671 BX110808 6770491 0.000657 NM_004964 6940242 0.000592 M97723 6940246 0.002642 NM_018384 6960746 0.000337 NM_004776 6980070 0.000193 NM_178839 6980609 0.000248 NM_025263 7000408 0.002112 NM_017773 7000768 0.002585 NM_182476 7050543 0.001999 NM_078483 7100136 0.000162 NM_017481 7100392 0.002685 NM_006429 7150017 0.000353 NM_006901 7150634 0.000569 NM_014976 7160296 0.00114 AI479236 7160470 0.002 AW263210 7200477 0.002998 NM_001008269 7320100 0.000502 NM_002566 7330487 0.000769 NM_007167 7380274 0.001267 NM_016237 7380288 0.000729 NM_000488 7400240 0.002702 NM_001037161 7510224 0.001608 NM_001003722 7510369 0.001719 NM_001152 7550537 0.000167 NM_004183 7570450 0.002439 NM_024422 7650025 0.001467 List 46 List 47 AUC 0.83 0.8 Number of 203 357 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_177972 10142 0.002329 NM_177972 10142 0.001456 NM_023003 10541 0.001154 NM_001031717 10338 0.002688 NM_006152 20553 0.001572 NM_023003 10541 0.001509 NM_015062 20647 0.001034 NM_006152 20553 0.002204 XM_001129663 130288 0.000968 NM_015062 20647 0.001282 NM_022136 150632 0.001841 NM_004411 50168 0.003444 AF086457 150711 0.000995 NM_006369 50240 0.002043 XM_932547 160121 0.000544 NR_002196 50347 0.001049 NM_182898 160132 0.001608 NM_001005920 60328 0.001591 XM_933240 160202 0.002107 NM_001261 60468 0.003793 NM_016292 160736 0.002056 NM_006567 130403 0.001951 BM981444 240653 0.002483 NM_021078 130451 0.003205 NM_005103 360343 0.002618 NM_022136 150632 0.002125 NM_015953 380685 0.001852 NM_182898 160132 0.000251 XM_929457 380762 0.002122 NM_012426 160682 0.001499 NM_012212 430100 0.000976 NM_016292 160736 0.001811 NM_002348 450037 0.000351 BM981444 240653 0.002952 NM_018715 510450 0.000153 NM_013378 360066 0.002782 NM_000155 520332 0.000379 NM_005103 360343 0.002696 NM_002129 610563 0.001672 NM_022830 360402 0.003526 AW852357 610615 0.001548 NM_015953 380685 0.003827 NM_001039548 620215 0.001881 XM_929457 380762 0.002276 NM_002896 620722 0.001524 NM_002348 450037 0.000325 CF619198 650014 0.002171 NM_194260 460273 0.0003 NM_000896 650164 4.19E−05 NM_021872 460754 0.001971 CR596519 670041 0.000321 NM_018715 510450 9.61E−05 NM_182830 670376 0.002133 NM_000155 520332 0.000228 NM_025113 730632 0.002211 NM_016616 580050 0.00182 NM_016524 730725 0.002201 NM_015074 610465 0.003167 XR_015582 770452 0.000289 NM_002129 610563 0.000746 XM_374110 780437 0.00265 NM_004928 610653 0.002308 XM_938718 870750 0.001841 NM_002896 620722 0.001368 XM_939144 940706 0.001055 NM_000896 650164 0.000219 AW451403 1030270 0.001433 NM_002727 650541 0.002564 AI311332 1030600 0.001247 NM_006243 650767 0.003306 NM_004927 1030692 0.002517 CR596519 670041 0.000556 AF272739 1050128 8.83E−05 NM_001517 730543 0.00241 NM_015292 1110215 0.000717 NM_016524 730725 0.00196 BC041984 1110358 0.001264 XR_015582 770452 0.001367 NM_003793 1110538 0.001911 NM_001398 770458 0.002653 NM_006720 1110575 0.002971 NM_002965 830400 0.003422 NM_000887 1240603 0.000605 CA429313 840139 0.002331 NM_000578 1430292 0.00066 NM_199337 840730 0.001996 NM_007199 1430762 0.002269 NM_014873 870403 0.003279 NM_001716 1440291 0.002699 NM_014358 940754 0.003102 NM_003343 1440382 0.0011 NM_015380 990273 0.002688 XM_938227 1450482 0.002966 NM_012252 990377 0.001966 NM_001037325 1470332 0.000893 NM_173608 1010220 0.003747 CB240909 1470372 0.00138 AA335815 1010671 0.002966 NM_006306 1500040 0.002117 AF272739 1050128 0.000586 NM_015039 1580348 0.000316 NM_198157 1050360 0.003341 AA972207 1580445 0.002786 AW236020 1070131 0.003413 BX101820 1690504 0.00269 NM_006608 1070189 0.00296 NM_018285 1780348 0.001088 NM_024949 1070348 0.001835 NM_001099786 1820598 0.000518 NM_207107 1070377 0.001853 NM_024108 1980424 0.002434 NM_153611 1090048 0.002929 NM_012395 2000390 0.001032 NM_016464 1090139 0.002779 BM272556 2000474 0.001239 NM_015292 1110215 0.000501 XM_936353 2030544 0.000513 BC041984 1110358 0.002383 NM_001013651 2060338 0.001442 BM679696 1110537 0.00371 AA910733 2070452 0.000848 NM_003793 1110538 0.002744 NM_004226 2100035 0.001599 NM_006720 1110575 0.001923 CK299581 2120356 0.000628 NM_000878 1170307 0.003781 NM_001005389 2140242 0.002727 NM_006576 1240070 0.002371 NM_014738 2190673 0.002535 NM_000887 1240603 0.000255 XM_935843 2260446 0.000632 NM_021105 1260228 0.000814 XM_932015 2370341 0.001837 XM_377476 1340338 0.001954 NM_007115 2370524 2.66E−05 NM_004716 1400270 0.003217 BX096685 2450343 0.001304 NM_016286 1410369 0.00052 T03068 2450497 9.16E−05 NM_014853 1410400 0.003891 NM_181803 2450603 0.002804 NM_000578 1430292 0.000584 AW578902 2510324 0.002784 NM_007199 1430762 0.001161 NM_031412 2630154 0.000461 NM_003343 1440382 0.001825 NM_003528 2630451 0.000164 NM_002080 1440546 0.002679 NM_025153 2630484 5.73E−06 NM_016408 1440601 0.0009 NM_005980 2640609 0.001492 NM_021117 1450082 0.003077 NM_020698 2650152 0.002638 NM_001686 1450706 0.002817 NM_019111 2680370 0.001629 CR593212 1470040 0.003014 NM_001014838 2690609 0.001107 NM_001037325 1470332 0.000876 NM_001414 2760563 0.001875 CB240909 1470372 0.002717 BG188859 2810630 0.001682 NM_006306 1500040 0.003999 XM_001126803 2850274 0.001641 NM_003855 1500328 0.002353 NM_031488 3120301 0.000356 NM_000314 1500717 0.003704 NM_017905 3130091 0.002024 NM_015039 1580348 0.000158 NM_020925 3140142 0.0013813 BX114980 1660204 0.003081 NM_033111 3140246 0.002118 BX101820 1690504 0.000107 BX111143 3180440 0.001248 NM_002405 1710286 0.000137 CB046255 3310075 0.002408 NM_003375 1770379 0.002947 BI260057 3310341 0.002771 NM_018285 1780348 0.000257 NM_014941 3360364 0.000257 NM_001099786 1820598 0.000418 NM_020808 3370605 0.002304 NM_019053 1940543 0.001551 NM_000884 3400504 0.002402 NM_016839 1980092 0.002857 NM_015288 3420735 0.002842 NM_024108 1980424 0.001579 XM_001126287 3440040 0.001018 NM_173659 1990673 0.003102 NM_012110 3440431 0.002375 NM_002365 1990703 0.003535 NM_139244 3460189 0.000544 NM_005184 1990762 0.001397 NM_003137 3460674 0.000329 NM_012395 2000390 0.000425 NM_003707 3520082 0.000548 BM272556 2000474 0.003138 NM_213566 3520192 0.000494 NM_001040138 2000551 0.001316 NM_005476 3610504 0.00042 NM_012155 2030450 0.002936 NM_000648 3800270 0.000658 AA628808 2030543 0.00328 XM_930898 3830390 9.69E−05 XM_936353 2030544 0.002128 AK025332 3850020 0.002021 NM_032138 2030747 0.003784 BU729036 3850367 0.000728 NM_017801 2070152 0.003627 NM_005225 3940338 0.002976 NM_175887 2070201 0.002794 XM_940524 3940368 0.000574 NM_004226 2100035 0.000859 XM_496059 3990465 0.001402 NM_017758 2100221 0.000121 X00437 3990639 0.000503 NM_198196 2100333 0.00369 NM_022827 4120133 0.001575 NM_006469 2100519 0.002129 AA868051 4150402 0.001528 CK299581 2120356 0.000303 NM_024600 4210647 0.001538 NM_001077692 2120681 0.003489 NM_001042631 4220138 0.000983 NM_207111 2190524 0.002054 NM_139247 4230653 0.000805 NM_014738 2190673 0.000185 NM_012455 4250280 0.002278 AI537683 2230594 0.002292 NM_020414 4280332 0.000499 NM_005356 2230661 0.003648 NM_015651 4540082 0.001064 XM_935843 2260446 0.000153 AI433683 4560463 0.000717 XM_932015 2370341 0.002144 XM_942378 4590400 0.001671 NM_007115 2370524 3.72E−06 NM_003543 4730195 7.59E−05 BQ372445 2370681 0.000584 CK300859 4730577 0.000937 AI217168 2450039 0.001595 NM_016553 4760543 0.000244 BX096685 2450343 0.001624 NM_012321 4830563 0.001969 T03068 2450497 0.000721 NM_006725 4850192 0.001494 NM_181803 2450603 0.000989 XM_936107 4850241 0.001146 NM_001605 2490747 0.003443 NM_016552 4850541 0.00067 NM_031412 2630154 0.001573 NM_032320 4860296 0.002987 NM_020408 2630181 0.001285 BX096603 4880373 0.00289 NM_003528 2630451 0.000937 NM_014281 4900053 0.000355 NM_025153 2630484 0.000145 BM669760 4900497 0.002826 NM_002012 2630500 0.00324 NM_003559 5090477 0.00048 NM_005937 2630719 0.002777 NM_002150 5090554 0.000387 NM_005980 2640609 0.000931 AA765688 5090647 0.00087 NM_019111 2680370 0.003073 NM_003853 5130475 0.002923 NM_015705 2690576 0.003107 NM_003221 5130553 0.002112 NM_001014838 2690609 0.000645 NM_005902 5130767 0.002581 XM_001129302 2710168 0.003266 CD243631 5270450 0.000608 NM_005412 2710278 0.003406 NM_000075 5270500 0.001944 NM_003059 2710397 0.002168 NM_032312 5290289 0.001788 NM_000477 2710427 0.002062 NM_012387 5310653 0.001357 NM_001018062 2750035 0.002623 NM_003906 5390131 0.001975 NM_001854 2750070 0.000658 NM_006321 5390669 0.000818 NM_003707 2750408 0.00087 BX113537 5550270 0.001739 NM_001961 2750626 0.003016 NM_152272 5550746 0.001593 NM_005449 2760092 0.003797 NM_013270 5690037 0.000449 NM_001414 2760563 0.003576 NM_032118 5700403 0.001594 NM_016546 2760593 0.003162 NM_173791 5720398 0.00254 NM_005082 2850576 0.002305 NM_002808 5720497 0.000366 NM_001384 2900524 0.001359 NM_017570 5820348 0.001129 NM_003553 2940053 0.002948 BU733214 5860196 0.000376 NM_032491 3120181 0.00276 NM_021052 5860400 0.000553 NM_031488 3120301 0.000158 BM974838 5870300 0.000467 NM_017905 3130091 0.001142 NM_006082 5900156 0.000428 NM_004555 3130291 0.001592 NM_005548 5900414 0.001635 NM_016230 3140039 0.001651 NM_178510 5910091 0.001985 NM_205548 3140088 0.000507 XM_001131964 5910343 0.001426 NM_006767 3140093 0.001209 NM_170699 5960035 0.001112 NM_020925 3140142 0.002377 NM_003415 6020132 0.002974 NM_033111 3140246 0.000989 NM_014230 6020402 0.002686 NM_015710 3170092 0.001023 NM_032839 6020575 0.002106 XM_936295 3180523 0.002392 NM_007365 6110133 0.002133 CB046255 3310075 0.000367 XM_931928 6110537 0.000484 BI260057 3310341 0.000518 NM_004044 6110768 0.000594 NM_014941 3360364 4.61E−05 NM_000074 6270128 0.000132 NM_020808 3370605 0.002185 NM_001039508 6280754 0.001096 NM_005698 3370687 0.000458 XM_936128 6290561 0.001469 NM_003475 3390008 0.002397 NM_001032999 6380050 0.002837 NM_170736 3390458 0.002464 NM_001032363 6380358 0.002699 NM_207311 3420343 0.00322 NM_033416 6380598 0.000237 NM_015288 3420735 0.001555 AW195556 6400187 0.002242 XM_001126287 3440040 0.002183 NM_025150 6480328 0.002394 NM_012110 3440431 0.001984 NM_033554 6480500 0.000848 NM_139244 3460189 0.001215 AW779539 6510452 0.001498 NM_024430 3460523 0.002452 NM_024619 6590386 0.000849 NM_003137 3460674 0.00014 NM_001007224 6590523 0.001316 NM_003707 3520082 0.00205 CB066794 6650482 0.00196 NM_213566 3520192 0.000899 CA424950 6650576 0.00117 NM_005476 3610504 0.000258 BG1217842 6660056 0.002945 NM_020531 3610634 0.003802 NM_006825 6770348 0.002251 NM_002883 3710189 0.001488 AA576740 6840408 0.002089 NM_018129 3780220 0.001767 NM_004964 6940242 0.002499 NM_001002010 3780689 0.002077 M97723 6940246 0.001888 NM_052889 3780747 0.003272 NM_001033515 6960328 0.002757 NM_000648 3800270 0.00343 NM_018384 6960746 0.000361 XM_943902 3800382 0.001606 NM_004776 6980070 0.000499 XM_930898 3830390 0.002862 BI915661 6980274 0.000463 NM_004092 3840022 0.000495 NM_138576 7000133 0.00234 NM_024326 3930687 0.001645 NM_025263 7000408 0.002421 NM_000849 3940386 0.002075 XM_943393 7050196 0.000729 NM_012111 3990192 0.003566 NM_182476 7050543 0.002821 XM_496059 3990465 0.002277 NM_078483 7100136 0.000439 X00437 3990639 0.000336 NM_017481 7100392 0.001519 BM668555 4050270 0.001619 NM_006429 7150017 0.00141 NM_002635 4050398 0.002878 NM_006901 7150634 0.000284 NM_153329 4050411 0.001925 NM_014976 7160296 0.001192 NM_015054 4060056 0.002765 AI479236 7160470 0.002735 NM_004811 4060131 0.001071 NM_003757 7320576 0.00123 NM_030915 4120086 0.002988 NM_007167 7380274 0.00159 NM_001779 4150161 0.001027 NM_016237 7380288 0.001302 AA868051 4150402 0.000262 NM_001923 7400121 0.001106 NM_002756 4150632 0.001356 NM_001037161 7510224 0.002262 NM_016091 4180142 0.00252 NM_001152 7550537 0.000158 XM_378421 4200148 0.001375 NM_032717 7610546 0.001923 NM_015721 4200538 0.001048 NM_001313 7650458 0.001914 NM_024600 4210647 0.001184 NM_001042631 4220138 0.000866 NM_002496 4220181 0.002053 AI863525 4230520 0.000274 NM_139247 4230653 0.000973 BQ894602 4230706 0.003125 NM_183384 4280047 0.000834 NM_020414 4280332 0.000423 NM_138554 4390615 0.002746 NM_015651 4540082 0.000308 BC016972 4540088 0.002144 BX102269 4540114 0.003399 NM_015433 4540301 0.000651 AI433683 4560463 0.000984 NM_015654 4560601 0.002683 BU752667 4560703 0.002272 BX096530 4610670 0.002723 NM_138931 4640044 0.001309 NM_025228 4640528 0.003713 DA122577 4670259 0.001993 NM_003543 4730195 0.000341 CK300859 4730577 0.000106 NM_016553 4760543 2.55E−05 NM_005243 4780743 0.002978 NM_030811 4830435 0.001748 NM_006725 4850192 0.000947 NM_016552 4850541 0.000257 NM_032320 4860296 0.001214 NM_024092 4880364 0.00344 BX096603 4880373 0.000369 NM_007171 4880681 0.003294 NM_014281 4900053 1.89E−05 BM669760 4900497 0.001931 NM_018079 5080056 0.00105 NM_015702 5090204 0.000414 NM_003559 5090477 0.00074 NM_002150 5090554 0.003485 NM_007355 5130082 0.002507 AA431917 5130154 0.001307 NM_016423 5130341 0.003578 NM_003853 5130475 0.001765 BU587445 5130747 0.00211 CD693563 5260184 0.00302 NM_000075 5270500 0.002368 NM_032312 5290289 0.000641 NM_022730 5310050 0.001909 NM_001033667 5310136 0.002721 NM_012387 5310653 0.002029 NM_001007239 5310754 0.000923 AA668491 5360400 0.00277 NM_015713 5390100 0.00371 NM_003906 5390131 0.000496 NM_006321 5390669 0.002487 NM_000852 5420538 0.003886 NM_001001998 5490142 0.003903 NM_152272 5550746 0.0025 AK125708 5560093 0.003459 NM_004665 5570673 0.003902 NM_013270 5690037 0.000251 NM_032118 5700403 0.000798 NM_173791 5720398 0.003847 NM_002808 5720497 0.003313 XR_000589 5810465 0.001969 NM_017570 5820348 0.002957 BU733214 5860196 0.000367 NM_014141 5890273 0.003312 NM_001628 5890327 0.003688 NM_006082 5900156 0.000222 NM_005548 5900414 0.002062 NM_178510 5910091 0.000822 NM_170699 5960035 0.000233 NM_139215 5960128 0.002869 NM_003415 6020132 0.001268 NM_014230 6020402 0.002218 NM_004833 6040639 0.001696 NM_181786 6060133 0.001626 NM_007255 6100220 0.00078 NM_024839 6110132 0.003698 NM_007365 6110133 0.001213 XM_931928 6110537 0.001296 NM_004044 6110768 0.000385 NM_006503 6180192 0.002611 NM_005968 6270021 0.002343 NM_000074 6270128 8.15E−05 NM_002964 6280576 0.001047 AL157484 6280682 0.000692 NM_001039508 6280754 0.000859 NM_003755 6290431 0.001811 XM_936128 6290561 0.001924 NM_021729 6330634 0.00132 NM_005176 6350360 0.000972 XM_001133111 6370463 0.000949 NM_033416 6380598 0.000496 NM_006519 6380731 0.002754 AI184681 6400026 0.002376 NM_006242 6400064 0.003176 NM_005360 6400369 0.003275 NM_001040107 6400563 0.000184 XM_937796 6420079 0.003331 AK128384 6420541 0.003933 NM_001005332 6480170 0.002105 NM_025150 6480328 0.001837 NM_033554 6480500 0.001722 AI732550 6480554 0.002036 NM_020679 6520241 0.001034 XR_018793 6550142 0.001141 NM_001040273 6550762 0.003428 NM_006164 6580075 0.002164 NM_024619 6590386 0.000143 NM_001007224 6590523 0.002247 CA436726 6620102 0.001192 AL577216 6650356 0.002786 NM_015214 6660020 0.00362 NM_030911 6660671 0.00082 NM_000632 6660709 0.003279 NM_144779 6760487 0.002952 NM_006825 6770348 0.002671 BX110808 6770491 0.000657 NR_003141 6840162 0.003603 AA576740 6840408 0.003069 H89368 6900689 0.003575 NM_004964 6940242 0.000592 M97723 6940246 0.002642 NM_001033515 6960328 0.003545 NM_018384 6960746 0.000337 NM_004776 6980070 0.000193 BI915661 6980274 0.003684 NM_178839 6980609 0.000248 NM_025263 7000408 0.002112 NM_017773 7000768 0.002585 NM_182476 7050543 0.001999 NM_078483 7100136 0.000162 NM_017481 7100392 0.002685 NM_006429 7150017 0.000353 NM_006901 7150634 0.000569 NM_014976 7160296 0.00114 AI479236 7160470 0.002 AW263210 7200477 0.002998 NM_145806 7210369 0.003405 NM_015474 7320047 0.003831 NM_001008269 7320100 0.000502 NM_004813 7320551 0.003202 NM_003757 7320576 0.003074 NM_002566 7330487 0.000769 NM_007167 7380274 0.001267 NM_016237 7380288 0.000729 NM_001923 7400121 0.003534 NM_000488 7400240 0.002702 NM_001037161 7510224 0.001608 NM_001003722 7510369 0.001719 NM_001152 7550537 0.000167 NM_004183 7570450 0.002439 BX108926 7610148 0.003989 NM_032717 7610546 0.003466 NM_024422 7650025 0.001467 9.00E−05 List 48 List 49 AUC 0.8125 0.83 Number of 501 203 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_000574 10025 0.001655446 NM_177972 10142 0.002329 NM_022736 10086 0.002911619 NM_023003 10541 0.001154 XM_931749 10110 0.00222351 NM_006152 20553 0.001572 NM_177972 10142 0.001018248 NM_015062 20647 0.001034 NM_005621 10279 0.000319168 NM_052901 130113 0.003255 NM_001031717 10338 0.001963946 NM_006567 130403 0.003842 NM_023003 10541 0.000152211 NM_022136 150632 0.001841 NM_145799 20154 0.001891036 XM_932547 160121 0.000544 NM_206967 20224 0.000148094 NM_182898 160132 0.001608 NM_006152 20553 0.001468078 NM_016292 160736 0.002056 NM_015062 20647 0.000190585 NM_005103 360343 0.002618 NM_014669 50164 0.001351738 NM_015959 380315 0.00329 NM_006369 50240 0.003857416 NM_015953 380685 0.001852 NM_001261 60468 0.003923877 NM_012212 430100 0.000976 NM_003626 110576 0.003117196 NM_002348 450037 0.000351 NM_052901 130113 0.002066823 NM_021872 460754 0.003626 NM_006567 130403 0.001646811 NM_018715 510450 0.000153 NM_021078 130451 0.000793685 NM_000155 520332 0.000379 NM_139250 130605 0.001562215 NM_002129 610563 0.001672 NM_022136 150632 0.001427127 NM_002896 620722 0.001524 XM_932547 160121 0.003230739 CF619198 650014 0.002171 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7650025 0.000910298 NM_024681 7650605 0.000419543 List 50 List 51 AUC 0.87 0.81 Number of 436 597 Transcripts Acc.-No. Probe ID p-Value Acc.-No. Probe ID p-Value NM_000574 10025 0.004739 NM_000574 10025 0.001655 NM_177972 10142 0.001456 NM_022736 10086 0.002912 NM_001031717 10338 0.002688 XM_931749 10110 0.002224 NM_023003 10541 0.001509 NM_177972 10142 0.001018 NM_006152 20553 0.002204 NM_005621 10279 0.000319 NM_015062 20647 0.001282 NM_001031717 10338 0.001964 NM_004411 50168 0.003444 NM_023003 10541 0.000152 NM_006369 50240 0.002043 NM_145799 20154 0.001891 NR_002196 50347 0.001049 NM_206967 20224 0.000148 NM_001005920 60328 0.001591 NM_006152 20553 0.001468 NM_001261 60468 0.003793 NM_015062 20647 0.000191 NM_052901 130113 0.004493 NM_014669 50164 0.001352 NM_006567 130403 0.001951 NM_006369 50240 0.003857 NM_021078 130451 0.003205 NM_001261 60468 0.003924 NM_022136 150632 0.002125 NM_003626 110576 0.003117 NM_182898 160132 0.000251 NM_052901 130113 0.002067 NM_012426 160682 0.001499 NM_006567 130403 0.001647 NM_016292 160736 0.001811 NM_021078 130451 0.000794 BM981444 240653 0.002952 NM_139250 130605 0.001562 NM_013378 360066 0.002782 NM_022136 150632 0.001427 NM_018382 360168 0.004714 XM_932547 160121 0.003231 NM_005103 360343 0.002696 NM_182898 160132 0.000213 NM_022830 360402 0.003526 NM_005804 160240 0.001723 NM_016120 360450 0.004653 NM_006392 160279 0.004391 NM_003971 380541 0.004902 NM_012426 160682 0.000377 NM_015953 380685 0.003827 NM_016292 160736 9.71E−05 XM_929457 380762 0.002276 NM_000902 240608 0.002095 NM_002348 450037 0.000325 NM_014767 270341 0.004498 NM_194260 460273 0.0003 XM_933693 270768 0.002664 NM_004424 460326 0.004378 NM_213674 290452 0.002842 NM_021872 460754 0.001971 NM_006433 290743 0.004807 NM_018715 510450 9.61E−05 NM_013378 360066 0.004706 NM_000155 520332 0.000228 NM_206831 360187 0.003981 NM_020448 520360 0.004462 NM_005103 360343 0.002573 NM_012229 520647 0.004717 NM_181704 360392 0.004822 NM_016616 580050 0.00182 NM_022830 360402 0.002853 NM_024677 610068 0.00404 NM_015959 380315 0.002218 NM_015074 610465 0.003167 NM_003971 380541 0.002112 NM_002129 610563 0.000746 NM_015953 380685 0.000244 NM_004928 610653 0.002308 NM_012212 430100 0.001931 NM_002896 620722 0.001368 NM_002348 450037 0.000158 NM_000896 650164 0.000219 NM_016025 460142 0.000869 NM_002727 650541 0.002564 NM_021872 460754 0.000351 NM_006243 650767 0.003306 NM_018715 510450 5.75E−05 CR596519 670041 0.000556 AK130294 520154 0.001649 NM_182830 670376 0.00478 NM_000155 520332 2.00E−05 NM_001517 730543 0.00241 NM_020448 520360 0.002503 NM_016524 730725 0.00196 NM_003960 520564 0.003828 XR_015582 770452 0.001367 NM_012229 520647 0.004436 NM_001398 770458 0.002653 NM_016616 580050 0.004964 NM_002965 830400 0.003422 NM_024677 610068 0.004321 CA429313 840139 0.002331 NM_005134 610408 0.001924 NM_021090 840564 0.004677 NM_015074 610465 0.003321 NM_199337 840730 0.001996 NM_002129 610563 0.000424 NM_014873 870403 0.003279 NM_004928 610653 0.001533 NM_014358 940754 0.003102 NM_002896 620722 0.000361 NM_015380 990273 0.002688 NM_003518 630091 0.004957 NM_012252 990377 0.001966 NM_024662 630768 0.004708 NM_173608 1010220 0.003747 CF619198 650014 0.002372 AA335815 1010671 0.002966 NM_000896 650164 2.29E−05 NM_020803 1010754 0.004556 BQ185068 650343 0.001602 NM_004927 1030692 0.004611 NM_000485 650358 0.002432 AF272739 1050128 0.000586 NM_002727 650541 0.002569 NM_198157 1050360 0.003341 NM_006243 650767 0.003445 AW236020 1070131 0.003413 CR596519 670041 5.24E−05 NM_006608 1070189 0.00296 XM_929135 670358 0.00216 NM_024949 1070348 0.001835 NM_182830 670376 0.000701 NM_207107 1070377 0.001853 NM_001517 730543 0.001257 NM_153611 1090048 0.002929 NM_025113 730632 0.001199 XM_930650 1090102 0.004048 NM_016524 730725 0.001022 NM_016464 1090139 0.002779 XR_015582 770452 0.002134 NM_015292 1110215 0.000501 NM_001398 770458 0.003298 BC041984 1110358 0.002383 NM_017726 780332 0.001404 BM679696 1110537 0.00371 XM_374110 780437 0.001677 NM_003793 1110538 0.002744 NM_002965 830400 0.002023 NM_006720 1110575 0.001923 NM_006427 830754 0.000392 NM_000878 1170307 0.003781 NM_003329 830762 0.001848 NM_006576 1240070 0.002371 CA429313 840139 0.003554 NM_000887 1240603 0.000255 NM_031212 840379 0.004259 NM_021105 1260228 0.000814 BF678255 840463 0.00467 XM_377476 1340338 0.001954 NM_199337 840730 0.000684 NM_001039708 1340731 0.004319 NM_014873 870403 0.004816 NM_004716 1400270 0.003217 NM_182597 870592 0.004434 NM_016286 1410369 0.00052 NM_007103 940224 0.004532 NM_014853 1410400 0.003891 NM_012198 940348 0.00252 NM_001040034 1430133 0.004887 NM_001013706 940450 0.002878 NM_000578 1430292 0.000584 XM_939144 940706 0.001223 NM_007199 1430762 0.001161 NM_014358 940754 0.00282 NM_001716 1440291 0.004305 NM_020131 990224 0.002019 NM_003343 1440382 0.001825 NM_015380 990273 0.000896 NM_002080 1440546 0.002679 NM_173608 1010220 0.002887 NM_016408 1440601 0.0009 NM_001376 1010301 0.00417 NM_001039571 1440612 0.004603 NM_004104 1010398 0.002174 NM_021117 1450082 0.003077 NM_031206 1010612 0.004203 NM_001686 1450706 0.002817 NM_021209 1030041 0.003497 CR593212 1470040 0.003014 NM_004927 1030692 0.001364 NM_001037325 1470332 0.000876 AF272739 1050128 0.000316 CB240909 1470372 0.002717 NM_006608 1070189 0.002799 NM_014428 1470750 0.004404 NM_207107 1070377 0.004333 NM_006306 1500040 0.003999 NM_153611 1090048 0.001324 NM_003855 1500328 0.002353 NM_015292 1110215 5.97E−05 NM_000314 1500717 0.003704 BC041984 1110358 0.001541 NM_004608 1570056 0.004765 NM_003793 1110538 0.00286 AI798732 1570703 0.004924 NM_006720 1110575 0.000394 NM_015039 1580348 0.000158 NM_000878 1170307 0.002666 BX114980 1660204 0.003081 NM_080649 1190647 0.004417 BX101820 1690504 0.000107 NM_006576 1240070 0.003339 NM_002405 1710286 0.000137 NM_000887 1240603 0.000241 NM_003375 1770379 0.002947 NM_021105 1260228 0.000289 NM_020940 1770598 0.004365 NM_014861 1300332 0.004029 NM_001024912 1780152 0.004364 NM_006066 1300768 0.001774 NM_018285 1780348 0.000257 XM_377476 1340338 0.001862 NM_001099786 1820598 0.000418 NM_001039708 1340731 0.001309 NM_001018052 1850433 0.00434 NM_004716 1400270 0.001345 NM_019053 1940543 0.001551 NM_016286 1410369 0.000395 NM_016839 1980092 0.002857 NM_014853 1410400 0.004221 NM_024108 1980424 0.001579 NM_001040034 1430133 0.00278 NM_024659 1990450 0.004876 CA446851 1430242 0.004861 NM_173659 1990673 0.003102 NM_000578 1430292 0.000338 NM_002365 1990703 0.003535 NM_004629 1430451 0.001402 NM_005184 1990762 0.001397 NM_007199 1430762 0.001102 NM_012395 2000390 0.000425 NM_001716 1440291 0.000503 BM272556 2000474 0.003138 NM_003343 1440382 0.001575 NM_001040138 2000551 0.001316 NM_020230 1440487 0.003475 NM_012155 2030450 0.002936 NM_002080 1440546 0.000463 AA628808 2030543 0.00328 NM_016408 1440601 0.001613 XM_936353 2030544 0.002128 AW519230 1440717 0.002048 NM_032138 2030747 0.003784 NM_021117 1450082 0.004308 NM_017801 2070152 0.003627 NM_198578 1450523 0.002261 NM_175887 2070201 0.002794 CR593212 1470040 0.004804 NM_004226 2100035 0.000859 CA314866 1470541 0.003164 NM_017758 2100221 0.000121 NM_006306 1500040 0.001727 NM_198196 2100333 0.00369 NM_003855 1500328 0.003176 NM_006469 2100519 0.002129 NM_000314 1500717 0.000587 CK299581 2120356 0.000303 NM_001034833 1510224 0.004374 NM_001077692 2120681 0.003489 AI798732 1570703 0.004074 NM_001005389 2140242 0.00442 NM_015039 1580348 0.000205 NM_207111 2190524 0.002054 NM_001278 1580750 0.004493 NM_014738 2190673 0.000185 NM_003914 1660309 0.003883 AI537683 2230594 0.002292 NM_153201 1690189 0.002222 NM_005356 2230661 0.003648 BX101820 1690504 0.00152 CB123670 2260128 0.00484 CA429381 1690767 0.003696 XM_935843 2260446 0.000153 NM_018054 1710100 0.001266 XM_932015 2370341 0.002144 NM_006424 1710189 0.002326 NM_007115 2370524 3.72E−06 NM_002405 1710286 0.000516 BQ372445 2370681 0.000584 NM_014871 1740576 0.002417 AI217168 2450039 0.001595 NM_006888 1780035 0.004676 BX096685 2450343 0.001624 NM_018285 1780348 0.000158 T03068 2450497 0.000721 XM_940071 1780368 0.003104 NM_181803 2450603 0.000989 NM_006374 1820142 0.001564 NM_024798 2470341 0.004535 NM_004793 1820341 0.003019 NM_001605 2490747 0.003443 NM_001099786 1820598 5.51E−05 NM_031412 2630154 0.001573 NM_019053 1940543 0.000574 NM_020408 2630181 0.001285 NM_022746 1980082 0.002414 NM_003528 2630451 0.000937 NM_017854 1980128 0.001725 NM_025153 2630484 0.000145 BF224068 1980356 0.00449 NM_002012 2630500 0.00324 NM_024108 1980424 0.00027 NM_005937 2630719 0.002777 NM_015909 1990239 0.002422 NM_001361 2640220 0.004705 NM_173659 1990673 0.002124 NM_005980 2640609 0.000931 NM_012395 2000390 0.001723 NM_019111 2680370 0.003073 NM_001007070 2000528 0.002735 NM_015705 2690576 0.003107 NM_001040138 2000551 0.002125 NM_001014838 2690609 0.000645 NM_012155 2030450 0.001131 XM_001129302 2710168 0.003266 XM_936353 2030544 0.000437 NM_005412 2710278 0.003406 NM_032138 2030747 0.001589 NM_003059 2710397 0.002168 NM_031420 2070131 0.004231 NM_000477 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2350671 0.004844 NM_032491 3120181 0.00276 NM_007115 2370524 3.63E−06 NM_031488 3120301 0.000158 NM_016478 2370593 0.004147 NM_017905 3130091 0.001142 AI217168 2450039 0.002173 NM_004555 3130291 0.001592 BX096685 2450343 0.003267 NM_016230 3140039 0.001651 T03068 2450497 6.26E−05 NM_205548 3140088 0.000507 NM_181803 2450603 0.003909 NM_006767 3140093 0.001209 XM_942902 2470037 0.003729 NM_020925 3140142 0.002377 NM_006031 2480082 0.000635 NM_033111 3140246 0.000989 NM_001605 2490747 0.000549 NM_015710 3170092 0.001023 NM_003864 2510133 0.003924 NM_016089 3170468 0.004315 AW578902 2510324 0.002259 BX111143 3180440 0.004538 NM_021174 2600255 0.002942 XM_936295 3180523 0.002392 NM_031412 2630154 0.000845 CB046255 3310075 0.000367 NM_020408 2630181 0.003146 BI260057 3310341 0.000518 NM_003528 2630451 0.000568 NM_014941 3360364 4.61E−05 NM_025153 2630484 3.78E−05 NM_020808 3370605 0.002185 NM_002012 2630500 0.002348 NM_005698 3370687 0.000458 NM_005937 2630719 0.000937 NM_003475 3390008 0.002397 NM_001361 2640220 0.002493 NM_170736 3390458 0.002464 NM_017955 2640278 0.002063 NM_000884 3400504 0.004247 NM_001025603 2640373 0.002462 NM_207311 3420343 0.00322 NM_005980 2640609 0.000121 NM_001042600 3420630 0.004458 XM_942031 2640674 0.003929 NM_015288 3420735 0.001555 NM_020698 2650152 0.003163 XM_001126287 3440040 0.002183 NM_001008938 2650164 0.001505 NM_012110 3440431 0.001984 NM_182811 2650390 0.001979 NM_058163 3440463 0.004224 NM_019111 2680370 0.00081 NM_139244 3460189 0.001215 NR_000011 2690019 0.003618 NM_006556 3460242 0.004893 NM_015705 2690576 0.002089 XM_932114 3460333 0.004793 NM_001014838 2690609 0.000394 NM_024430 3460523 0.002452 NM_005412 2710278 0.000973 NM_003137 3460674 0.00014 NM_003059 2710397 0.000799 NM_003707 3520082 0.00205 NM_001006109 2710544 0.001576 NM_213566 3520192 0.000899 NM_149379 2710711 0.00153 NM_005476 3610504 0.000258 NM_001018062 2750035 0.001856 NM_020531 3610634 0.003802 NM_003707 2750408 0.000173 NM_002883 3710189 0.001488 NM_015135 2750521 0.00238 NM_018129 3780220 0.001767 NM_001961 2750626 0.004774 NM_001002010 3780689 0.002077 NM_006260 2760064 0.002457 NM_052889 3780747 0.003272 NM_005449 2760092 0.000698 NM_000648 3800270 0.00343 NM_017917 2760110 0.001042 XM_943902 3800382 0.001606 NM_001414 2760563 0.002254 XM_930898 3830390 0.002862 NM_016546 2760593 0.003436 NM_004092 3840022 0.000495 XM_942424 2810113 0.003936 AK025332 3850020 0.004261 NM_017827 2810132 0.00442 NM_001040167 3890095 0.004393 XM_942926 2810674 0.001067 NM_024326 3930687 0.001645 NM_007357 2810767 0.002044 XM_940524 3940368 0.004972 NM_001530 2850288 0.00107 NM_000849 3940386 0.002075 NM_005082 2850576 0.002256 BX111927 3940719 0.004709 NM_003754 2900482 0.004472 NM_012111 3990192 0.003566 NM_001384 2900524 0.002065 XM_496059 3990465 0.002277 XM_938382 2940687 0.003298 X00437 3990639 0.000336 NM_006328 2970332 0.001256 BM668555 4050270 0.001619 XM_208281 2970537 0.003352 NM_002635 4050398 0.002878 NM_031488 3120301 0.000108 NM_153329 4050411 0.001925 NM_032290 3120358 0.002208 NM_015054 4060056 0.002765 NM_014234 3130019 0.001845 NM_004811 4060131 0.001071 NM_017905 3130091 0.000411 NM_030915 4120086 0.002988 NM_004555 3130291 0.003429 NM_001779 4150161 0.001027 NM_133445 3130328 0.00236 AA868051 4150402 0.000262 XM_001127981 3130392 0.003717 NM_002756 4150632 0.001356 NM_000159 3130440 0.001055 NM_014181 4150768 0.004995 NM_020750 3130711 0.001628 NM_016091 4180142 0.00252 NM_016230 3140039 0.000503 XM_378421 4200148 0.001375 NM_205548 3140088 0.001002 NM_015721 4200538 0.001048 NM_006767 3140093 0.000556 NM_024600 4210647 0.001184 NM_001005738 3140114 0.003326 NM_001042631 4220138 0.000866 NM_020925 3140142 0.000982 NM_002496 4220181 0.002053 NM_033111 3140246 0.000676 AI863525 4230520 0.000274 NM_004666 3140382 0.001177 NM_139247 4230653 0.000973 NM_015710 3170092 0.000608 BQ894602 4230706 0.003125 NM_016089 3170468 0.002997 NM_183384 4280047 0.000834 NM_003569 3190382 0.003983 NM_020414 4280332 0.000423 NM_001417 3290066 0.003624 NM_138554 4390615 0.002746 NM_004177 3290192 0.002921 NM_015651 4540082 0.000308 NM_014941 3360364 4.62E−05 BC016972 4540088 0.002144 NM_020808 3370605 0.001107 BX102269 4540114 0.003399 NM_005698 3370687 0.000681 NM_015433 4540301 0.000651 NM_003475 3390008 0.001688 AI433683 4560463 0.000984 BI492679 3390333 0.004921 NM_015654 4560601 0.002683 NM_170736 3390458 0.001781 BU752667 4560703 0.002272 NM_000022 3400328 0.001988 NM_024046 4610619 0.004543 NM_015002 3400372 0.003533 BX096530 4610670 0.002723 NM_000884 3400504 0.001548 NM_138931 4640044 0.001309 NM_006114 3400747 0.003116 NM_025228 4640528 0.003713 NM_207311 3420343 0.000375 XR_001416 4640598 0.004431 NM_003032 3420471 0.004724 DA122577 4670259 0.001993 NM_001042600 3420630 0.000909 NM_003543 4730195 0.000341 NM_015722 3420682 0.001732 CK300859 4730577 0.000106 NM_015288 3420735 0.000203 NM_016553 4760543 2.55E−05 XM_001126287 3440040 0.001256 NM_005243 4780743 0.002978 NM_019027 3440392 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BU733214 5860196 0.000365 NM_021052 5860400 0.00219 BM974838 5870300 0.001445 NM_004688 5870673 0.002374 NM_014141 5890273 0.003248 NM_001628 5890327 0.001535 NM_139346 5890333 0.002256 BF515836 5890367 0.00211 NM_012257 5890494 0.001865 NM_006082 5900156 0.000375 NM_005548 5900414 0.001908 NM_031992 5910088 0.004775 NM_178510 5910091 0.000846 XM_001131964 5910343 0.003185 NM_170699 5960035 0.000747 BC042086 5960041 0.002812 NM_198155 5960301 0.003719 BX106383 5960605 0.00307 NM_014230 6020402 0.000851 NM_024923 6020500 0.000974 NM_032839 6020575 0.002031 NM_024586 6020685 0.003957 NM_015568 6040196 0.004917 NM_032853 6040259 0.004217 NM_181786 6060133 0.004363 NM_014840 6060201 0.004107 NM_004252 6060324 0.004124 NM_007255 6100220 0.000447 NM_005384 6100228 0.003035 NM_005502 6110088 0.004671 NM_024839 6110132 0.00438 NM_144666 6110142 0.003237 NM_173855 6110228 0.001661 NM_003645 6110328 0.001512 XM_931928 6110537 0.0003 NM_001025077 6110672 0.004167 NM_004044 6110768 4.01E−05 NM_016509 6130377 0.0043 NM_006503 6180192 0.004565 NM_015645 6200537 0.001303 NM_032376 6200746 0.002231 NM_152371 6250338 0.003725 NM_146388 6250367 0.004386 BX509313 6250446 0.003448 NM_005968 6270021 0.001087 NM_000074 6270128 0.000192 XM_373742 6270215 0.001519 NM_015044 6270364 0.001601 XM_926048 6270630 0.003286 NM_145043 6280168 0.000975 NM_002964 6280576 0.00325 NM_001039508 6280754 0.000582 NM_182776 6290239 0.001296 NM_003755 6290431 0.000524 XM_936128 6290561 0.00025 NM_021729 6330634 0.001548 NM_005176 6350360 0.002665 NM_002704 6350364 0.000588 XM_001133111 6370463 0.003426 NM_033301 6380148 0.001271 NM_001032363 6380358 0.004497 NM_033416 6380598 0.000273 NM_006242 6400064 0.002832 XM_937796 6420079 0.003831 NM_004627 6420138 0.004707 XM_941861 6420364 0.002695 AK128384 6420541 0.001627 NM_001005332 6480170 0.00083 NM_025150 6480328 0.002432 NM_033554 6480500 0.000219 AW779539 6510452 0.004666 XM_942392 6520333 0.002215 XR_018793 6550142 0.000948 NM_001040273 6550762 0.000958 NM_006164 6580075 0.001079 NM_024619 6590386 5.24E−05 NM_001007224 6590523 0.000585 NM_001098522 6620674 0.00328 NM_016057 6650403 0.003328 CB066794 6650482 0.003597 NM_176880 6650541 0.001086 CA424950 6650576 0.002265 BG217842 6660056 0.002557 NM_170738 6660471 0.002505 NM_144779 6760487 0.003962 NM_002513 6770142 0.002174 NM_006825 6770348 0.002983 AI150595 6840131 0.004481 NR_003141 6840162 0.003273 AA576740 6840408 0.001434 NM_015540 6860243 0.001783 NM_014465 6900154 0.004753 NM_004964 6940242 0.000666 M97723 6940246 0.001381 NM_020739 6960707 0.003629 NM_018384 6960746 5.22E−05 NM_004776 6980070 0.000267 BI915661 6980274 0.001186 BG429923 6980386 0.004335 NM_178839 6980609 0.000513 NM_138576 7000133 0.00074 NM_018380 7000224 0.004277 NM_025263 7000408 0.000816 NM_017773 7000768 0.000646 NM_006759 7040088 0.004327 NM_153746 7040609 0.004133 NM_182476 7050543 0.000185 NM_078483 7100136 0.000534 NM_017481 7100392 0.001067 NM_004623 7100504 0.003389 NM_006429 7150017 0.000297 NM_014165 7150601 0.003091 NM_006901 7150634 0.000149 NM_199184 7160164 0.000695 NM_014976 7160296 0.000428 NM_022897 7160554 0.001213 NM_023079 7160767 0.00388 NM_016623 7200309 0.001774 NM_014290 7200682 0.002665 NM_020706 7320273 0.003345 NM_003757 7320576 0.000763 NM_002566 7330487 0.000974 NM_174856 7380170 0.002502 NM_007167 7380274 0.002578 NM_016237 7380288 0.000209 NM_021805 7380328 0.001162 NM_005787 7380347 0.00378 NM_024850 7380440 0.000889 NM_199176 7380736 0.002902 NM_001923 7400121 0.002348 NM_000488 7400240 0.002066 NM_001037161 7510224 0.002565 NM_001152 7550537 9.37E−05 NM_006014 7560241 0.00418 NM_006537 7570112 0.00303 NM_001023587 7610097 0.004367 NM_032717 7610546 0.001865 NM_024422 7650025 0.00091 AW378958 7650195 0.004699 NM_001313 7650458 0.004475 NM_024681 7650605 0.00042 

1. A method for the detection of non-small cell lung cancer (NSCLC) in a human individual based on RNA obtained from a blood sample obtained from the individual, comprising: determining the abundance of at least 5 RNAs in the sample that are chosen from the RNAs listed in Table 2, and concluding based on the measured abundance whether the patient has NSCLC.
 2. The method of claim 1, wherein the abundance of at least 7, or of at least 11 RNAs that are chosen from the RNAs listed in Table 2 is determined.
 3. The method of claim 1, wherein concluding comprises classifying the sample as being from a healthy individual or from an individual having NSCLC based on the specific difference of the abundance of the at least 5 RNAs in healthy individuals versus the abundance of the at least 5 RNAs in individuals with NSCLC.
 4. The method of claim 3, wherein the classifying is achieved by applying a Support Vector Machines (SVM), a random forest method, or a K-nearest neighbor method.
 5. The method of claim 1, which comprises determining the abundance of the RNAs specified in FIG. 2B.
 6. The method of claim 1, wherein the abundance of the RNAs in the sample are increased or decreased as shown in Table
 2. 7. The method of claim 6, wherein an increase of the abundance provides for a change of >1.1, >1.2, or >1.3, and a decrease of the expression provides for a change <0.9, <0.8, or <0.7 relative to the respective expression in a healthy individual.
 8. The method of claim 1, wherein the abundance is determined with an RNA hybridization assay, preferably with a solid phase microarray, a real-time polymerase chain reaction, or sequencing.
 9. The method of claim 1, wherein the abundance is determined through a hybridization with probes for determining the abundance of the at least 5 RNAs of Table
 2. 10. The method of claim 9, wherein said probes comprise 15 to 150, preferably 30 to 70 consecutive nucleotides with a reverse complementary sequence to the at least 5 RNAs whose abundance is to be determined.
 11. A microarray for the detection of NSCLC comprising probes for detecting at least 5, or at least 7, or at least 11 RNAs that are chosen from the RNAs listed in Table
 2. 12. Use of a microarray of claim 11 for the detection of non-small cell lung cancer (NSCLC) in a human individual based on RNA obtained from a blood sample obtained from the individual, preferably determining the abundance of at least 5 RNAs in the sample that are chosen from the RNAs listed in Table
 2. 13. A kit for the detection of NSCLC, comprising means for determining the abundance of at least 5 RNAs in the sample that are chosen from the RNAs listed in Table
 2. 14. The kit of claim 13, which comprises probes comprising 15 to 150, preferably 30 to 70 consecutive nucleotides with a reverse complementary sequence to the at least 5 RNAs whose abundance is to be determined, or a microarray comprising probes with a reverse complementary sequence to the at least 5 RNAs whose abundance is to be determined.
 15. The kit of claim 13, which further comprises a mixture of at least 5 of the RNAs of table 2 in a given amount for use as a standard. 